IoT Based Smart Farming using Decision Support System (original) (raw)
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A Review on Decision Support System in Smart Farming
International Journal of Research in Advent Technology
The new smart era is based on science and technology that has changed the way of industrial operation. The traditional way of managing the heavy task and decision-making capabilities which mostly rely on the manpower system is now transforming with the advancement of computer and IoT technology in various domains. Day by day the new inventions are carried in the agriculture sector. A new way of farming with the implementation of technology is increasing crop production, monitoring, and irrigation techniques. This increase in crop production with limited farmland is playing a vital role in the needs of the growing population. To achieve this the decision support system can be integrated with the IoT which will give precise decisions of crop production based on the agriculture site. This article focuses on an IoT Based Smart Farming using Decision Support System project for crop prediction and management. The soil sensors based on soil samples provide the data regarding soil moisture, PH value, temperature, and humidity. These data are feed as input to the system via GSM/GPRS module and provide output as predicted crop after the analysis. All the data are stored on the server and can be managed by the user interface as a webpage. This research work will give farmers a new decision making for their farm based on real-time data which surely can reduce their efforts and economic crises. .
International Journal of Computer Science Engineering and Information Technology Research, 2020
Our country's economic development is highly dependent on farming. In the research, we suggest a way to develop a smart farming system that uses the cutting edge of Internet of Things (IoT) and Cloud computing to assist the farmers to enhance the way of farming. The research primarily lays emphasis on identifying the level of soil nutrients and environmental factors. Nitrogen, Phosphorous as well as Potassium were the major soil nutrients accountable for plant development. Soil moisture, pH level along with the temperature level of the environment is reported. In the suggested structure the soil specimen is taken as input as well as some chemical reactions are carried out. The colour change of the specimen was sensed through the colour sensors and the values are processed by a controller. The values are delivered to the user for low cost farming solutions to adapt with the socioeconomic conditions of small scale farming in developing countries. An Android mobile application has been developed to show the obtained result from the controller.
Survey on Intelligent IOT Based System for Agriculture
Agriculture is one of the major parts of a country's economy. But recently, weather change has affected crop growth adversely and farmers are suffering. In such a situation, it is necessary for us to get smarter and be able to use the resources we have intelligently. We propose a method of farming wherein a farmer's job is reduced immensely and resources are used adequately. We aim to develop an IoT based project which will automatically do the work of irrigation on the basis of an FC-28 soil moisture sensor. We will be using machine learning to predict the possibility of a crop getting affected by a disease. This system will also provide suggestions to the farmer on how to prevent these diseases and if at all the crop gets infected, what all can he do to solve this issue. Farmer will also be notified regarding the health of the soil, on the basis of which required fertilizers can be suggested. All the sensor data can be extracted using Raspberry Pi. The farmer can get all the measured data (soil humidity, temperature, pH etc.) on the android application. This app also provides him with the ability to control the irrigation. The main target of this system is to provide farmers with a system which can help him grow a high yield of healthy crops with adequate use of resources.
IoT Enabled Smart Agriculture using Digital Dashboard
Indian Journal Of Science And Technology
Objectives: To develop an IoT-based smart device to retrieve soil and water parameters by collecting and storing sensor-based data and to make crop recommendations. The primary goal of this work is to create a link between farmers and their farms. Methods: This work produces a smart device to predict suitable crop based on several parameters using a technical approach that makes use of the Internet of Things, Machine learning algorithms, and Sensor Networks. The Gaussian Naive Bayes algorithm is used in the Prediction module to predict suitable crop types. Several components are used to make an IoT system like Raspberry Pi, DHT11 sensor, soil moisture sensor, pH sensor, LDR sensor, Ultrasonic sensor, NPK sensor, and other components to collect data related to soil properties and weather conditions. Soil samples were collected from different fields and tested by switching the IoT kit and the message will be passed to the field owner. Dataset is used from the Kaggle database to train the model for crop prediction. Seven parameters have been taken in the trained dataset such as pH, N, P, K, temperature, humidity, and rainfall. All these values were collected through soil properties sensors and weather condition sensors. Existing traditional methods like soil testing laboratories involve lengthy and costly procedures for soil testing and crop prediction. The proposed system will produce results faster at a lesser cost while making digital data available on the cloud server. Findings: The proposed system performs efficiently when compared to the previous report with 99.3% accuracy over 97.18%. The existing approach for lab-based soil testing takes approximately 5-8 days; whereas the proposed system using an IoT kit can perform n number of soil tests on a single device and the results can be viewed instantly. Novelty: Most of the existing systems like smart agriculture system and smart irrigation system use Arduino Uno for soil test which doesn't support high-end sensors and works only with desktop computer traditional programs. The existing system for nutrient identification uses a soil Ec sensor and color sensor to find N, P, and K values which include multi-steps and are time-consuming. The proposed system uses Raspberry Pi for soil tests which are more compatible with implementing the latest machine-level algorithms. In this system, the NPK sensor is used instead of soil Ec sensor and color sensor which will give the N, P, and K values directly.
IoT Based Automated Monitoring System for the Measurement of Soil Quality
Springer Singapore, 2022
Agriculture has long been the principal source of income in our country. However, agriculture is being hampered as a result of people migrating from rural to urban areas. The purpose of the study is to make a device that measures the soil and air quality on its own, not by any human action or anything. The device will automatically collect data from the soil and send it over the internet to various devices. This project includes other features like a wireless monitoring system and soil moisture and temperature sensing. This project also includes some comparisons between measured results by excel sheet for better soil quality. The sensors collect the result from the soil and supply the data through the internet. The primary focus of the paper is to demonstrate a project that helps to do farming with advanced techniques. The data obtained from the soil is pushed to the cloud for future analysis. Our motive of this research is to help the farmers and the agricultural officers in soil and weather testing.
Intelligent IoT based System for Agriculture
2020
Agriculture is one of the major parts of a country's economy.[7] But recently, weather change has affected crop growth adversely and farmers are suffering. In such a situation, it is necessary for us to get smarter and be able to use the resources we have intelligently. We propose a method of farming wherein a farmer’s job is reduced immensely and resources are used adequately. We aim to develop an IoT based project which will automatically do the work of irrigation on the basis of an FC-28 soil moisture sensor.[2] We will be using machine learning to detect if a crop is getting affected by a disease and what disease it is.[3][6] This system will also provide suggestions to the farmer on how to prevent these diseases and if at all the crop gets infected, what all can he do to solve this issue. Farmer will also be notified regarding the health of the soil, on the basis of which required fertilizers can be suggested. All the sensor data can be extracted using Raspberry Pi. The far...
A RESEARCH PAPER ON IOT BASED SMART AGRICULTURAL SYSTEM
IRJET, 2022
Agriculture is an evolving practice, right from the primitive practices to the present day mechanized practices, we have seen constant improvement in the methods and tools used in agriculture. In line to this development, we are now using IoT to make agriculture a smart application. The hallmark of this paper is to introduce multiple sensors at different levels of agriculture process and to develop a user friendly system. As we all know "Better the Informed, Better the decision made". This project provides real time data to the farmer about his farm, so that he can take a least disadvantageous decision. Further, it acts as a one stop solution to the farmer by enhancing them with smart agriculture applications. By using these smart applications, farmer can improve his income (i.e. high yield and better livestock management).
IoT based Smart System to Support Agricultural Parameters: A Case Study
Procedia Computer Science, 2019
Now-a-days, the natural irrigation system is under pressure due to the growing water shortages, which are mainly caused by population growth and climate change. Therefore, the control of water resources to increase the allocation of retained water is very important. It has been observed in the last two decades, especially in the Indian sub-continent, the change of climate affects the agricultural crops production significantly. However, the prediction of good harvests before harvesting, enables the farmers as well as the government officials to take appropriate measures of marketing and storage of crops. Some strategies for predicting and modelling crop yields have been developed, although they do not take into account the characteristics of climate, and they are empirical in nature. In the proposed system, a Cuckoo Search Algorithm has been developed, allowing the allocation of water for farming under any conditions. The various parameters such as temperature, turbidity, pH., moisture have been collected by using Internet of Things (IoT) platform, equipped with related sensors and wireless communication systems. In this IoT platform the sensor data have been displayed in the cloud environment by using ThingSpeak. The data received in the ThingSpeak used in the proposed Cuckoo Search Algorithm, allowing the selection of appropriate crops for particular soil. Abstract Now-a-days, the natural irrigation system is under pressure due to the growing water shortages, which are mainly caused by population growth and climate change. Therefore, the control of water resources to increase the allocation of retained water is very important. It has been observed in the last two decades, especially in the Indian sub-continent, the change of climate affects the agricultural crops production significantly. However, the prediction of good harvests before harvesting, enables the farmers as well as the government officials to take appropriate measures of marketing and storage of crops. Some strategies for predicting and modelling crop yields have been developed, although they do not take into account the characteristics of climate, and they are empirical in nature. In the proposed system, a Cuckoo Search Algorithm has been developed, allowing the allocation of water for farming under any conditions. The various parameters such as temperature, turbidity, pH., moisture have been collected by using Internet of Things (IoT) platform, equipped with related sensors and wireless communication systems. In this IoT platform the sensor data have been displayed in the cloud environment by using ThingSpeak. The data received in the ThingSpeak used in the proposed Cuckoo Search Algorithm, allowing the selection of appropriate crops for particular soil.
Information technology based smart farming model development in agriculture land
IAES International Journal of Artificial Intelligence (IJ-AI)
Smart farming in various worlds is not just about applying technology in terms of storing data on agricultural land. However, having a concept of measurable data based on available computational techniques trained and then generating knowledge. As an application, the agri drone sprayer can be used for the process of applying pesticides and liquid fertilizers on each side. In addition, drone surveillance is also useful in implementing smart farming such as mapping land so that farmers will know the condition of their agricultural land. However, the soil and weather sensor will also help the farmers to monitor the farmland as well. Devices with sensors can only obtain data in the form of air and soil humidity, temperature, soil pH, water content and forecasting the harvest period. So that the smart farming model can help farmers to get recommendations, in preventing the predicted damage to their land and crops. However, according to its geographical location, the application of smart ...
IoT based smart farming system
International Journal of Advance Research, Ideas and Innovations in Technology, 2021
Agriculture has become an important growing sector due to the constantly increasing population throughout the world. In the agricultural sector, enhancing farm quality and farm productivity is a massive task without continual record keeping ensuring a high and quickly expanding food demands. Except for the growing population, climate change is a serious concern in the agriculture sector as well. To deal with such situations smart farming system using the cloud and Internet of Things is the best solution proposed in this research work. Smart farming can be used that may offer a collection of useful data i.e temperature, humidity. The Paperwork represent a smart device for farm field tracking that controls soil, humidity, and temperature. Based on these principles, it takes appropriate action after obtaining the sensor readings without human involvement. Soil temperature and moisture are gathered here, and sensed values are processed for future data processing in the cloud.