Prakash Kanade | Visvesvaraya Technological University (original) (raw)
Papers by Prakash Kanade
British Journal of Multidisciplinary and Advanced Studies, 2023
India's agriculture sector employs the most people. Here it is: Agriculture employs around 60% of... more India's agriculture sector employs the most people. Here it is: Agriculture employs around 60% of the Indian population and accounts for about 18% of India's GDP; yet, low productivity is due to a lack of research in this industry. Water logging, soil erosion, nitrogen shortage, and other issues plague Indian agricultural land. These are the primary causes of agriculture's low productivity. A farmer must spend a significant amount of time and money on farming, which is more extensive and time intensive than using a tractor. As a result, the cost of agriculture has increased. It is critical to use machine learning techniques and computational research to the agriculture industry in order for India to become a better quantity and quality food producer. ML approaches are particularly beneficial for building relationships and abstracting patterns between disparate data sets, as well as forecasting a realistic outcome as an output. It can be successfully implemented in the Indian agriculture sector to increase efficiency. We've talked about how machine learning techniques can be used in the Indian agriculture industry to assess soil fertility. Agriculture has long been one of the most fascinating study and analytical topics. This research aims to assess soil data based on a variety of characteristics, classify it, and increase the efficiency of each model using multiple terms and classifications. The major goal of this study and analysis is to classify soil fertility (behavior) indices by area using village-level soil fertility data.
International Journal of Advanced Networking and Applications
By providing safe and decentralized ways to store, access, and share data, blockchain technology ... more By providing safe and decentralized ways to store, access, and share data, blockchain technology has emerged as a promising alternative for the management of healthcare data. The various uses of blockchain technology in healthcare data management are examined in this review of the literature. The promise of blockchain to improve data security, privacy, interoperability, and trust in healthcare systems has attracted a lot of attention. The work seeks to give a summary of the available research, highlight important obstacles, and identify emerging prospects in utilizing blockchain for healthcare data management. This study examines the administration of patient records, data interoperability, clinical trials, supply chain management, data privacy, and security through a thorough examination of pertinent literature. The work show how blockchain technology has the potential to revolutionize healthcare data management while also exposing areas that need more research. The applications of blockchain in healthcare data management are also covered, including the management of patient information, interoperability, clinical trials, supply chain management, and data privacy. By improving security, privacy, interoperability, and stakeholder confidence, the results imply that blockchain has the potential to revolutionize healthcare data management. However, in order for widespread acceptance to occur, issues including scalability, legal compliance, and system integration must be resolved.
British Journal of Multidisciplinary and Advanced Studies, 2023
India's agriculture sector employs the most people. Here it is: Agriculture employs around 60% of... more India's agriculture sector employs the most people. Here it is: Agriculture employs around 60% of the Indian population and accounts for about 18% of India's GDP; yet, low productivity is due to a lack of research in this industry. Water logging, soil erosion, nitrogen shortage, and other issues plague Indian agricultural land. These are the primary causes of agriculture's low productivity. A farmer must spend a significant amount of time and money on farming, which is more extensive and time intensive than using a tractor. As a result, the cost of agriculture has increased. It is critical to use machine learning techniques and computational research to the agriculture industry in order for India to become a better quantity and quality food producer. ML approaches are particularly beneficial for building relationships and abstracting patterns between disparate data sets, as well as forecasting a realistic outcome as an output. It can be successfully implemented in the Indian agriculture sector to increase efficiency. We've talked about how machine learning techniques can be used in the Indian agriculture industry to assess soil fertility. Agriculture has long been one of the most fascinating study and analytical topics. This research aims to assess soil data based on a variety of characteristics, classify it, and increase the efficiency of each model using multiple terms and classifications. The major goal of this study and analysis is to classify soil fertility (behavior) indices by area using village-level soil fertility data.
Eswar Publications, 2023
By providing safe and decentralized ways to store, access, and share data, blockchain technology ... more By providing safe and decentralized ways to store, access, and share data, blockchain technology has emerged as a promising alternative for the management of healthcare data. The various uses of blockchain technology in healthcare data management are examined in this review of the literature. The promise of blockchain to improve data security, privacy, interoperability, and trust in healthcare systems has attracted a lot of attention. The work seeks to give a summary of the available research, highlight important obstacles, and identify emerging prospects in utilizing blockchain for healthcare data management. This study examines the administration of patient records, data interoperability, clinical trials, supply chain management, data privacy, and security through a thorough examination of pertinent literature. The work show how blockchain technology has the potential to revolutionize healthcare data management while also exposing areas that need more research. The applications of blockchain in healthcare data management are also covered, including the management of patient information, interoperability, clinical trials, supply chain management, and data privacy. By improving security, privacy, interoperability, and stakeholder confidence, the results imply that blockchain has the potential to revolutionize healthcare data management. However, in order for widespread acceptance to occur, issues including scalability, legal compliance, and system integration must be resolved.
Whether it is a nursing home, or senior citizens at home, they need help. But help can't be a... more Whether it is a nursing home, or senior citizens at home, they need help. But help can't be available every time. At night, for example. Many people get up to drink water. But for our seniors, they need someone else to come help. With a robotic assistant, all this will be accomplished easily. It can get them food, water, and many more things. Due to COVID-19, there aren't many people at nursing homes. But a robotic assistant won't have such barriers.
In this pandemic, the most important people are the health care workers. Without proper PPE, many... more In this pandemic, the most important people are the health care workers. Without proper PPE, many of our health care workers are losing their lives to Covid-19. Let's go into the life of a health care worker. Imagine you are a health care worker treating a COVID patient. You are scared to treat them for fear of catching the virus, even with PPE. Now with a medical robot arm, you can control all the actions to treat patients from a safe distance. Giving food, water, medicine and taking different readings from patients has never been easier. This robot arms can be controlled with the health care worker's Smartphone from a safe distance.
– In today's world, time and man power are important constraints for the completion of tasks.... more – In today's world, time and man power are important constraints for the completion of tasks. Robots are used in industries to perform simple repetitive tasks. Compared to humans, robots complete tasks faster and with greater accuracy. They are increasingly used in industries to automate tasks in an assembly line for pick and place. Robot arms are used as a pick and place robot in industries. This paper presents a robot arm used as a pick and place robot using a raspberry pi microcontroller. The robot arm can automatically move to a location where the object to be lifted and placed. Ultrasonic distance sensors are installed at the robot arm to recognize the object. The robot arm is used to hold the object and move it to desired destination
Civil engineers and architects need to have different approaches for measuring distances between ... more Civil engineers and architects need to have different approaches for measuring distances between the walls of the room and height of the building that do not require the human interaction. Instead of solid tools like long tapes, they can use sensors to determine distance. One of the solution is the ultrasonic distance sensors which uses ultrasonic sound (high frequency radio waves) to measure distance. This paper presents a system that measures the distance travelled by ultrasound waves through the air. The proposed system provides a tool for distance measurements in construction field for civil engineers to do the survey.
International Journal of Advanced Networking and Applications, 2021
European Journal of Electrical Engineering and Computer Science, 2021
Human beings have adapted to a new way of life, from an open society to a closed world. Covid19 h... more Human beings have adapted to a new way of life, from an open society to a closed world. Covid19 has brought many changes to the way people live, social distance and minimal to no contact are our goals. This could have been impossible if we were not surrounded by technology. This Perspective offers a context for the implementation of Remote Technologies, demonstrating the forms in which pandemic preparation, monitoring, research, tracking, and Health Care Technologies are effectively implemented. Our research is focused on providing a solution for handling patients at health facilities with the help of remote technologies keeping in mind the importance of social distancing and minimum to no contact to minimize the spread of the virus. The strategy is to identify the two fronts where contact with a patient is to be made. The first front is the point at which a patient needs to be detected and classified as a potential risk, at this stage the technology needs to identify the patient...
International Journal of Advanced Networking and Applications, 2020
IJIREEICE, 2017
The Internet of Things (IoT) shall be able to incorporate transparently and seamlessly a large nu... more The Internet of Things (IoT) shall be able to incorporate transparently and seamlessly a large number of different and heterogeneous end systems, while providing open access to selected subsets of data for the development of a plethora of digital services. Building a general architecture for the IoT is hence a very complex task, mainly because of the extremely large variety of devices, link layer technologies, and services that may be involved in such a system. One of the main concerns with our environment has been solid waste management which in addition to disturbing the balance of the environment also has adverse effects on the health of the society. The detection, monitoring and management of wastes is one of the primary problems of the present era. The traditional way of manually monitoring the wastes in waste bins is a complex, cumbersome process and utilizes more human effort, time and cost which is not compatible with the present day technologies in any way. This an advanced method in which waste management is automated. This project IoT Garbage Monitoring system is a very innovative system which will help to keep the cities clean. This system monitors the garbage bins and informs about the level of garbage collected in the garbage bins via a web page. This web page also send all information to garbage collection vehicles.
International Journal of Advanced Networking and Applications - IJANA, 2021
The introduction of various robotics technology has made it easier to apply these approaches to a... more The introduction of various robotics technology has made it easier to apply these approaches to agricultural procedures. However, due to the enormous differences in shape, size, rate and type of growth, kind of yield, and environmental needs for different types of crops, implementing this technology on farms has proven difficult. Agricultural processes are a series of time-dependent, methodical, repeated actions. Tilling, soil analysis, seeding, transplanting, crop scouting, insect management, weed removal, and harvesting are all major processes in open arable farming, and robots can help with all of them. By shrinking the range of the search grayscale range, the new method efficiently shortens the algorithm's search speed and reduces computation processing time. The edge contour picture of the corn and weed targets is used as the study object, and we built an algorithm to achieve an accurate selection of the 2D coordinate points of the corn and weed targets in the field crop image. A quadratic traversal algorithm is proposed in this paper for selecting target 2D coordinate points in the pixel coordinate system, as well as the related traversal search box. To achieve real-time target recognition and complete automatic cut classification of targets, the Faster R-CNN deep network model based on the VGG-16 feature extraction network is deployed. The use and implementation of our ideas in this study can help intelligent weeding robots perform more precise weeding operations and increase their efficiency.
European Journal of Electrical Engineering and Computer Science
To avoid the rising number of car crash deaths, which are mostly caused by drivers' inattenti... more To avoid the rising number of car crash deaths, which are mostly caused by drivers' inattentiveness, a paradigm shift is expected. The knowledge of a driver's look area may provide useful details about his or her point of attention. Cars with accurate and low-cost gaze classification systems can increase driver safety. When drivers shift their eyes without turning their heads to look at objects, the margin of error in gaze detection increases. For new consumer electronic applications such as driver tracking systems and novel user interfaces, accurate and effective eye gaze prediction is critical. Such systems must be able to run efficiently in difficult, unconstrained conditions while using reduced power and expense. A deep learning-based gaze estimation technique has been considered to solve this issue, with an emphasis on WSN based Convolutional Neural Networks (CNN) based system. The proposed study proposes the following architecture, which is focused on data science: The...
DOI: http://dx.doi.org/10.24018/ejece.2021.5.2.303 Vol 5 | Issue 2 | March 2021 13 Abstract — MAR... more DOI: http://dx.doi.org/10.24018/ejece.2021.5.2.303 Vol 5 | Issue 2 | March 2021 13 Abstract — MAR (Mobile Augmented Reality) is delegated an innovation that gives similar capacities as AR (Augmented Reality), yet without the actual limitations of the area of an exploration office or testing region. A Location-Based Service (LBS) is an application for portable figuring which gives clients administrations dependent on their topographical area. Area based administrations are getting progressively famous with the ascent of cell phones with an ever increasing number of highlights (particularly Apple's iPhone and Android-based gadgets). Increasingly more substance is improved with geoinformation and can subsequently be seen in a virtual climate, however in real, portable conditions and in a setting delicate way fit to the requirements of the client. The definition and advantages of versatile increased reality and area based administrations and the mix of portable enlarged reality and ...
In the recent trend of Smart Agriculture making use of Robots plays a very important role. Scarci... more In the recent trend of Smart Agriculture making use of Robots plays a very important role. Scarcity of skilled laborers and environmental changes have made man to replace with machines. The automation in forming process is mainly for time saving, energy efficiency of repeated work in farming fields and increased productivity of crop and market trends. The main prerequisite for a good crop yielding is its seeding procedure. In this paper a Robotic vehicle is designed for Seeding in the form using an Arduino controlled by Bluetooth/RF. Certain types of sensors are also used. Agriculture purpose Robot is designed by considering certain climatic conditions and the type of land available for sowing the seed. This Robot is unique of its kind in prototype design. This method can also have extended high end application in Agriculture yielding and other level designs for optimization of time, work and efficiency in order to increase the productivity of crops.
2021 5th International Conference on Computing Methodologies and Communication (ICCMC), 2021
Earlier identification of plant diseases is very important as it may adversely affect the growth ... more Earlier identification of plant diseases is very important as it may adversely affect the growth of their respective species in the near future. Generally, plants are believed to be a more essential resource for both human beings and animals. Furthermore, the plant disorders will affect the leaf. Along these lines, the area of plant affliction expects a significant field work. Regardless, it needs more human force, additional time to analyze the subtleties on plant sicknesses. Then, Artificial intelligence [AI] is used to characterize the microorganisms in plant leaves as it dismembers and orchestrates the information from completely different perspectives into one of the predefined set of arrangements. For course of action, other morphological options and properties, for example, concealing, power, and estimation of the plant leaves are considered. Henceforth, this paper presents an outline of altered assortments of plant illnesses and different gathering measures in AI, which are ...
IJIREEICE
The Internet of Things (IoT) shall be able to incorporate transparently and seamlessly a large nu... more The Internet of Things (IoT) shall be able to incorporate transparently and seamlessly a large number of different and heterogeneous end systems, while providing open access to selected subsets of data for the development of a plethora of digital services. Building a general architecture for the IoT is hence a very complex task, mainly because of the extremely large variety of devices, link layer technologies, and services that may be involved in such a system. One of the main concerns with our environment has been solid waste management which in addition to disturbing the balance of the environment also has adverse effects on the health of the society. The detection, monitoring and management of wastes is one of the primary problems of the present era. The traditional way of manually monitoring the wastes in waste bins is a complex, cumbersome process and utilizes more human effort, time and cost which is not compatible with the present day technologies in any way. This an advanced method in which waste management is automated. This project IoT Garbage Monitoring system is a very innovative system which will help to keep the cities clean. This system monitors the garbage bins and informs about the level of garbage collected in the garbage bins via a web page. This web page also send all information to garbage collection vehicles.
European Journal of Electrical Engineering and Computer Science
Notwithstanding adding to the presentation of imaginative innovations and arising business openin... more Notwithstanding adding to the presentation of imaginative innovations and arising business openings in numerous business sectors, improvements in innovation have since brought down labor force requests and working expenses. Likewise, the nature of administrations offered has been upgraded. In this way, as a key empowering innovation for a wide assortment of medical care applications, particularly for the older and handicapped, the Internet of Things (IoT) has as of late acquired extraordinary footing. While IoT-based advancements have started to help the old and incapacitated in numerous parts of their lives and occupations, and IoT helps support the nature of living for the old and crippled, the volume of IoT information produced has risen essentially and surpassed assumptions. An expected option for following their wellbeing status is to make a brilliant wheelchair-based wellbeing checking framework, since it is satisfactory for a more extensive assortment of watchers and, in cont...
International Journal of Soft Computing and Engineering, 2021
We all depend on farmers in today's world. But is anybody aware of who the farmers rely on? T... more We all depend on farmers in today's world. But is anybody aware of who the farmers rely on? They don't suffer from various irrigation issues, such as over-irrigation, under irrigation, underwater depletion, floods, etc. We are trying to build a project to solve some of the problems that will help farmers overcome the challenges. Owing to inadequate distribution or lack of control, irrigation happens because of waste water, chemicals, which can contribute to water contamination. Under irrigation, only enough water is provided to the plant, which gives low soil salinity, leading to increased soil salinity with a consequent build-up of toxic salts in areas with high evaporation on the soil surface. This requires either leaching to remove these salts or a drainage system to remove the salts. We have developed a project using IoT (Internet of Things) and ML to solve these irrigation problems (machine learning). The hardware consists of different sensors, such as the temperature s...
British Journal of Multidisciplinary and Advanced Studies, 2023
India's agriculture sector employs the most people. Here it is: Agriculture employs around 60% of... more India's agriculture sector employs the most people. Here it is: Agriculture employs around 60% of the Indian population and accounts for about 18% of India's GDP; yet, low productivity is due to a lack of research in this industry. Water logging, soil erosion, nitrogen shortage, and other issues plague Indian agricultural land. These are the primary causes of agriculture's low productivity. A farmer must spend a significant amount of time and money on farming, which is more extensive and time intensive than using a tractor. As a result, the cost of agriculture has increased. It is critical to use machine learning techniques and computational research to the agriculture industry in order for India to become a better quantity and quality food producer. ML approaches are particularly beneficial for building relationships and abstracting patterns between disparate data sets, as well as forecasting a realistic outcome as an output. It can be successfully implemented in the Indian agriculture sector to increase efficiency. We've talked about how machine learning techniques can be used in the Indian agriculture industry to assess soil fertility. Agriculture has long been one of the most fascinating study and analytical topics. This research aims to assess soil data based on a variety of characteristics, classify it, and increase the efficiency of each model using multiple terms and classifications. The major goal of this study and analysis is to classify soil fertility (behavior) indices by area using village-level soil fertility data.
International Journal of Advanced Networking and Applications
By providing safe and decentralized ways to store, access, and share data, blockchain technology ... more By providing safe and decentralized ways to store, access, and share data, blockchain technology has emerged as a promising alternative for the management of healthcare data. The various uses of blockchain technology in healthcare data management are examined in this review of the literature. The promise of blockchain to improve data security, privacy, interoperability, and trust in healthcare systems has attracted a lot of attention. The work seeks to give a summary of the available research, highlight important obstacles, and identify emerging prospects in utilizing blockchain for healthcare data management. This study examines the administration of patient records, data interoperability, clinical trials, supply chain management, data privacy, and security through a thorough examination of pertinent literature. The work show how blockchain technology has the potential to revolutionize healthcare data management while also exposing areas that need more research. The applications of blockchain in healthcare data management are also covered, including the management of patient information, interoperability, clinical trials, supply chain management, and data privacy. By improving security, privacy, interoperability, and stakeholder confidence, the results imply that blockchain has the potential to revolutionize healthcare data management. However, in order for widespread acceptance to occur, issues including scalability, legal compliance, and system integration must be resolved.
British Journal of Multidisciplinary and Advanced Studies, 2023
India's agriculture sector employs the most people. Here it is: Agriculture employs around 60% of... more India's agriculture sector employs the most people. Here it is: Agriculture employs around 60% of the Indian population and accounts for about 18% of India's GDP; yet, low productivity is due to a lack of research in this industry. Water logging, soil erosion, nitrogen shortage, and other issues plague Indian agricultural land. These are the primary causes of agriculture's low productivity. A farmer must spend a significant amount of time and money on farming, which is more extensive and time intensive than using a tractor. As a result, the cost of agriculture has increased. It is critical to use machine learning techniques and computational research to the agriculture industry in order for India to become a better quantity and quality food producer. ML approaches are particularly beneficial for building relationships and abstracting patterns between disparate data sets, as well as forecasting a realistic outcome as an output. It can be successfully implemented in the Indian agriculture sector to increase efficiency. We've talked about how machine learning techniques can be used in the Indian agriculture industry to assess soil fertility. Agriculture has long been one of the most fascinating study and analytical topics. This research aims to assess soil data based on a variety of characteristics, classify it, and increase the efficiency of each model using multiple terms and classifications. The major goal of this study and analysis is to classify soil fertility (behavior) indices by area using village-level soil fertility data.
Eswar Publications, 2023
By providing safe and decentralized ways to store, access, and share data, blockchain technology ... more By providing safe and decentralized ways to store, access, and share data, blockchain technology has emerged as a promising alternative for the management of healthcare data. The various uses of blockchain technology in healthcare data management are examined in this review of the literature. The promise of blockchain to improve data security, privacy, interoperability, and trust in healthcare systems has attracted a lot of attention. The work seeks to give a summary of the available research, highlight important obstacles, and identify emerging prospects in utilizing blockchain for healthcare data management. This study examines the administration of patient records, data interoperability, clinical trials, supply chain management, data privacy, and security through a thorough examination of pertinent literature. The work show how blockchain technology has the potential to revolutionize healthcare data management while also exposing areas that need more research. The applications of blockchain in healthcare data management are also covered, including the management of patient information, interoperability, clinical trials, supply chain management, and data privacy. By improving security, privacy, interoperability, and stakeholder confidence, the results imply that blockchain has the potential to revolutionize healthcare data management. However, in order for widespread acceptance to occur, issues including scalability, legal compliance, and system integration must be resolved.
Whether it is a nursing home, or senior citizens at home, they need help. But help can't be a... more Whether it is a nursing home, or senior citizens at home, they need help. But help can't be available every time. At night, for example. Many people get up to drink water. But for our seniors, they need someone else to come help. With a robotic assistant, all this will be accomplished easily. It can get them food, water, and many more things. Due to COVID-19, there aren't many people at nursing homes. But a robotic assistant won't have such barriers.
In this pandemic, the most important people are the health care workers. Without proper PPE, many... more In this pandemic, the most important people are the health care workers. Without proper PPE, many of our health care workers are losing their lives to Covid-19. Let's go into the life of a health care worker. Imagine you are a health care worker treating a COVID patient. You are scared to treat them for fear of catching the virus, even with PPE. Now with a medical robot arm, you can control all the actions to treat patients from a safe distance. Giving food, water, medicine and taking different readings from patients has never been easier. This robot arms can be controlled with the health care worker's Smartphone from a safe distance.
– In today's world, time and man power are important constraints for the completion of tasks.... more – In today's world, time and man power are important constraints for the completion of tasks. Robots are used in industries to perform simple repetitive tasks. Compared to humans, robots complete tasks faster and with greater accuracy. They are increasingly used in industries to automate tasks in an assembly line for pick and place. Robot arms are used as a pick and place robot in industries. This paper presents a robot arm used as a pick and place robot using a raspberry pi microcontroller. The robot arm can automatically move to a location where the object to be lifted and placed. Ultrasonic distance sensors are installed at the robot arm to recognize the object. The robot arm is used to hold the object and move it to desired destination
Civil engineers and architects need to have different approaches for measuring distances between ... more Civil engineers and architects need to have different approaches for measuring distances between the walls of the room and height of the building that do not require the human interaction. Instead of solid tools like long tapes, they can use sensors to determine distance. One of the solution is the ultrasonic distance sensors which uses ultrasonic sound (high frequency radio waves) to measure distance. This paper presents a system that measures the distance travelled by ultrasound waves through the air. The proposed system provides a tool for distance measurements in construction field for civil engineers to do the survey.
International Journal of Advanced Networking and Applications, 2021
European Journal of Electrical Engineering and Computer Science, 2021
Human beings have adapted to a new way of life, from an open society to a closed world. Covid19 h... more Human beings have adapted to a new way of life, from an open society to a closed world. Covid19 has brought many changes to the way people live, social distance and minimal to no contact are our goals. This could have been impossible if we were not surrounded by technology. This Perspective offers a context for the implementation of Remote Technologies, demonstrating the forms in which pandemic preparation, monitoring, research, tracking, and Health Care Technologies are effectively implemented. Our research is focused on providing a solution for handling patients at health facilities with the help of remote technologies keeping in mind the importance of social distancing and minimum to no contact to minimize the spread of the virus. The strategy is to identify the two fronts where contact with a patient is to be made. The first front is the point at which a patient needs to be detected and classified as a potential risk, at this stage the technology needs to identify the patient...
International Journal of Advanced Networking and Applications, 2020
IJIREEICE, 2017
The Internet of Things (IoT) shall be able to incorporate transparently and seamlessly a large nu... more The Internet of Things (IoT) shall be able to incorporate transparently and seamlessly a large number of different and heterogeneous end systems, while providing open access to selected subsets of data for the development of a plethora of digital services. Building a general architecture for the IoT is hence a very complex task, mainly because of the extremely large variety of devices, link layer technologies, and services that may be involved in such a system. One of the main concerns with our environment has been solid waste management which in addition to disturbing the balance of the environment also has adverse effects on the health of the society. The detection, monitoring and management of wastes is one of the primary problems of the present era. The traditional way of manually monitoring the wastes in waste bins is a complex, cumbersome process and utilizes more human effort, time and cost which is not compatible with the present day technologies in any way. This an advanced method in which waste management is automated. This project IoT Garbage Monitoring system is a very innovative system which will help to keep the cities clean. This system monitors the garbage bins and informs about the level of garbage collected in the garbage bins via a web page. This web page also send all information to garbage collection vehicles.
International Journal of Advanced Networking and Applications - IJANA, 2021
The introduction of various robotics technology has made it easier to apply these approaches to a... more The introduction of various robotics technology has made it easier to apply these approaches to agricultural procedures. However, due to the enormous differences in shape, size, rate and type of growth, kind of yield, and environmental needs for different types of crops, implementing this technology on farms has proven difficult. Agricultural processes are a series of time-dependent, methodical, repeated actions. Tilling, soil analysis, seeding, transplanting, crop scouting, insect management, weed removal, and harvesting are all major processes in open arable farming, and robots can help with all of them. By shrinking the range of the search grayscale range, the new method efficiently shortens the algorithm's search speed and reduces computation processing time. The edge contour picture of the corn and weed targets is used as the study object, and we built an algorithm to achieve an accurate selection of the 2D coordinate points of the corn and weed targets in the field crop image. A quadratic traversal algorithm is proposed in this paper for selecting target 2D coordinate points in the pixel coordinate system, as well as the related traversal search box. To achieve real-time target recognition and complete automatic cut classification of targets, the Faster R-CNN deep network model based on the VGG-16 feature extraction network is deployed. The use and implementation of our ideas in this study can help intelligent weeding robots perform more precise weeding operations and increase their efficiency.
European Journal of Electrical Engineering and Computer Science
To avoid the rising number of car crash deaths, which are mostly caused by drivers' inattenti... more To avoid the rising number of car crash deaths, which are mostly caused by drivers' inattentiveness, a paradigm shift is expected. The knowledge of a driver's look area may provide useful details about his or her point of attention. Cars with accurate and low-cost gaze classification systems can increase driver safety. When drivers shift their eyes without turning their heads to look at objects, the margin of error in gaze detection increases. For new consumer electronic applications such as driver tracking systems and novel user interfaces, accurate and effective eye gaze prediction is critical. Such systems must be able to run efficiently in difficult, unconstrained conditions while using reduced power and expense. A deep learning-based gaze estimation technique has been considered to solve this issue, with an emphasis on WSN based Convolutional Neural Networks (CNN) based system. The proposed study proposes the following architecture, which is focused on data science: The...
DOI: http://dx.doi.org/10.24018/ejece.2021.5.2.303 Vol 5 | Issue 2 | March 2021 13 Abstract — MAR... more DOI: http://dx.doi.org/10.24018/ejece.2021.5.2.303 Vol 5 | Issue 2 | March 2021 13 Abstract — MAR (Mobile Augmented Reality) is delegated an innovation that gives similar capacities as AR (Augmented Reality), yet without the actual limitations of the area of an exploration office or testing region. A Location-Based Service (LBS) is an application for portable figuring which gives clients administrations dependent on their topographical area. Area based administrations are getting progressively famous with the ascent of cell phones with an ever increasing number of highlights (particularly Apple's iPhone and Android-based gadgets). Increasingly more substance is improved with geoinformation and can subsequently be seen in a virtual climate, however in real, portable conditions and in a setting delicate way fit to the requirements of the client. The definition and advantages of versatile increased reality and area based administrations and the mix of portable enlarged reality and ...
In the recent trend of Smart Agriculture making use of Robots plays a very important role. Scarci... more In the recent trend of Smart Agriculture making use of Robots plays a very important role. Scarcity of skilled laborers and environmental changes have made man to replace with machines. The automation in forming process is mainly for time saving, energy efficiency of repeated work in farming fields and increased productivity of crop and market trends. The main prerequisite for a good crop yielding is its seeding procedure. In this paper a Robotic vehicle is designed for Seeding in the form using an Arduino controlled by Bluetooth/RF. Certain types of sensors are also used. Agriculture purpose Robot is designed by considering certain climatic conditions and the type of land available for sowing the seed. This Robot is unique of its kind in prototype design. This method can also have extended high end application in Agriculture yielding and other level designs for optimization of time, work and efficiency in order to increase the productivity of crops.
2021 5th International Conference on Computing Methodologies and Communication (ICCMC), 2021
Earlier identification of plant diseases is very important as it may adversely affect the growth ... more Earlier identification of plant diseases is very important as it may adversely affect the growth of their respective species in the near future. Generally, plants are believed to be a more essential resource for both human beings and animals. Furthermore, the plant disorders will affect the leaf. Along these lines, the area of plant affliction expects a significant field work. Regardless, it needs more human force, additional time to analyze the subtleties on plant sicknesses. Then, Artificial intelligence [AI] is used to characterize the microorganisms in plant leaves as it dismembers and orchestrates the information from completely different perspectives into one of the predefined set of arrangements. For course of action, other morphological options and properties, for example, concealing, power, and estimation of the plant leaves are considered. Henceforth, this paper presents an outline of altered assortments of plant illnesses and different gathering measures in AI, which are ...
IJIREEICE
The Internet of Things (IoT) shall be able to incorporate transparently and seamlessly a large nu... more The Internet of Things (IoT) shall be able to incorporate transparently and seamlessly a large number of different and heterogeneous end systems, while providing open access to selected subsets of data for the development of a plethora of digital services. Building a general architecture for the IoT is hence a very complex task, mainly because of the extremely large variety of devices, link layer technologies, and services that may be involved in such a system. One of the main concerns with our environment has been solid waste management which in addition to disturbing the balance of the environment also has adverse effects on the health of the society. The detection, monitoring and management of wastes is one of the primary problems of the present era. The traditional way of manually monitoring the wastes in waste bins is a complex, cumbersome process and utilizes more human effort, time and cost which is not compatible with the present day technologies in any way. This an advanced method in which waste management is automated. This project IoT Garbage Monitoring system is a very innovative system which will help to keep the cities clean. This system monitors the garbage bins and informs about the level of garbage collected in the garbage bins via a web page. This web page also send all information to garbage collection vehicles.
European Journal of Electrical Engineering and Computer Science
Notwithstanding adding to the presentation of imaginative innovations and arising business openin... more Notwithstanding adding to the presentation of imaginative innovations and arising business openings in numerous business sectors, improvements in innovation have since brought down labor force requests and working expenses. Likewise, the nature of administrations offered has been upgraded. In this way, as a key empowering innovation for a wide assortment of medical care applications, particularly for the older and handicapped, the Internet of Things (IoT) has as of late acquired extraordinary footing. While IoT-based advancements have started to help the old and incapacitated in numerous parts of their lives and occupations, and IoT helps support the nature of living for the old and crippled, the volume of IoT information produced has risen essentially and surpassed assumptions. An expected option for following their wellbeing status is to make a brilliant wheelchair-based wellbeing checking framework, since it is satisfactory for a more extensive assortment of watchers and, in cont...
International Journal of Soft Computing and Engineering, 2021
We all depend on farmers in today's world. But is anybody aware of who the farmers rely on? T... more We all depend on farmers in today's world. But is anybody aware of who the farmers rely on? They don't suffer from various irrigation issues, such as over-irrigation, under irrigation, underwater depletion, floods, etc. We are trying to build a project to solve some of the problems that will help farmers overcome the challenges. Owing to inadequate distribution or lack of control, irrigation happens because of waste water, chemicals, which can contribute to water contamination. Under irrigation, only enough water is provided to the plant, which gives low soil salinity, leading to increased soil salinity with a consequent build-up of toxic salts in areas with high evaporation on the soil surface. This requires either leaching to remove these salts or a drainage system to remove the salts. We have developed a project using IoT (Internet of Things) and ML to solve these irrigation problems (machine learning). The hardware consists of different sensors, such as the temperature s...