Implementation of Precision Agriculture Through Iot Using Raspberry Pi (original) (raw)
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An IoT Application for Effective Management of Agriculture Resources
International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2022
Several issues related to traditional agriculture have hindered the growth of nation. Thus, solution to this mode of agriculture is adoption of smart agriculture. Therefore, the aim of this research is to make the agriculture smart by adopting innovative and advanced technologies such as Internet of things (IoT) and Wireless Sensor Network (WSN) enabled automation in agriculture. In recent times, IoT and WSN based technologies can be applied in several research fields. IoT enables various applications employed in crop growth monitoring and selection of irrigation decision support system. The technology like Raspberry Pi used recently in irrigation system of agriculture for improvement of crop productivity. This research paper focuses on various parameters of IoT related to agriculture such as soil moisture sensor, floodwater detector, temperature tracking sensor, humidity and light intensity sensor, etc. The sensors are associated to web server through raspberry pi controller. It detects the each activity of field and transfer the information to web server. The result outcomes assist the former to know about the actual scenario of field in real time through buzzer and can smartly do watering and showering fertilizer to the field in very efficient manner without trying too hard and quality of the crops will be get improved.
IoT Based Agriculture Monitoring and Smart Irrigation System Using Raspberry Pi
IOT is a shared Network of objects where these objects interact through Internet. One of the important applications of IOT is Smart Agriculture. Smart Agriculture reduces wastage of water, fertilizers and increases the crop yield. Here a system is proposed to monitor crop-field using sensors for soil moisture, humidity and temperature. By monitoring these parameters the irrigation system can be automated if soil moisture is low.
IoT Based Smart Agriculture Aid System using Raspberry Pi
Regular issue, 2021
Agriculture is the worldwide one of the most important occupation of human being, nearly about 64% of total available land on earth is occupied by the agriculture sector, which results in comsuming 85% of fresh water. This percentage of water consumption increases every year due to globalization and fulfilling human needs. Every country face challenge to sustain the fresh food requirement and reducing the farm water consumption. Сurrently, the fаrmers look over at irrigаtiоn methоds mаnuаlly аnd irrigаte their аreа on a constant routine рeriоd. These process acquire large аmоunt оf wаter and as a result water is wasted. Therefоre, Raspberry Pi соmmuniсаtiоn system is preferred beсаuse оf its easy operation, mаintenаnсe аnd cost. This prototype is automated which will irrigate the crop by detecting the moisture content and also will keep an eye on the soil quality.
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...
Implementation of Precision Agriculture Using IOT and Raspberry PI Along with LabVIEW Simulation
The aim of this paper was to develop a farming methodology by considering different parameters that play a vital role in irrigation and growth of plants such as soil moisture, ph level of soil, nutrient levels, surrounding temperature and humidity, uv index using various sensors. It also covers the theft monitoring and design of automatic irrigation system using drip irrigation system by powering the motor using solar energy. This entire system of network of sensor is being implemented with the help of Arduino Uno and Raspberry Pi. The Raspberry Pi deals with the IOT part by uploading all the data received to the database and at the same time sending the collected data as an e-mail to the user, we have also designed an API (application programming interface) where the sensor data can be seen in a graphical form.
A RESEARCH PAPER ON SMART AGRICULTURE SYSTEM USING IOT
IRJET, 2022
Agriculture has been the primary source of income or primary occupation in our country from ages. But recently due to unpredictable weather conditions and availability of good land there has been hindrance in agriculture. As a result, food security has become a major concern for our country and also most other countries. So, to overcome this we go for Internet of Things (IoT) in Smart Agriculture system to enhance the productivity and operation efficiency in agricultural sector. The feature of this system is developing a system that can monitor moisture, temperature, humidity and even might movement of animals which might annihilate the resources in agriculture field via sensors using microcontroller and in the case of any discrepancy send an alert message using Wi-fi/3G/4G module to the farmers' smartphone. As it has low cost, it allows every farmer to afford it and because of its various features it has a potential to be helpful in water limited areas. In this paper we are proposing an efficient and lowcost sensor network technology to get the soil moisture, temperature, humidity and manually operable motor to distribute water in the field as per the need and take the decision accordingly.
Internet of Things (IOT) FOR AGRICULTURE
IJCSMC, 2019
Agriculture is a sector that contributes highest to India's GDP. The present necessity is that the utilization of water must be efficient and effective. As the population is growing rapidly and there is rapid urbanization and climatic changes, the stress for managing the water resource has been increased. When there is mismanagement of this natural resource in the fields, it not only leads to water scarcity but also affects the crops in the field due to under or over watering. The human interpretation in fields leads to wastage of energy and time. And also the human calculations regarding the soil moisture, water content in the fields cannot be accurate. So, there is need of optimizing the water consumption, where for the irrigation process, a control system and a monitor is required. In our paper, we have focused on the automation of irrigation process aiming on higher growth of crops and efficient use of water. The hardware consists of DHT11 sensor which measures the surrounding air, soil moisture sensors which estimates the volumetric water content and a raspberry pi. Furthermore, the model also monitors the weather conditions and ensures the water is used smartly.
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.
A Smart Farming and "Crop Monitoring Technology" in Agriculture Using IOT
International Journal for Research in Applied Science & Engineering Technology (IJRASET), 2022
A Smart Farming and "Crop Monitoring Technology" Using IOT in Agriculture. Agriculture is basic source of livelihood People in India. It plays major role in economy of country. But now a days due to migration of people from rural to urban there is hindrance in agriculture. Monitoring the environmental factor is not the complete solution to increase the yield of crops. There are no of factors that decrease the productivity to a great extent. Hence Automation must be implemented in agriculture to overcome these problems. An automatic irrigation system thereby saving time, money and power of farmer. The Traditional Farm land irrigation techniques require manual intervention. With the automated technology of irrigation the human intervention can be minimized. Continuous sensing an monitoring of crops by convergence of sensors with Internet of things (IOT) and making farmers to aware about crops growth, harvest time periodically and in turn making high productivity of crops and also ensuring correct delivery of products to end, consumers at right place and right time. So to overcome this problem we go for smart agriculture technique using IOT. This Project includes sensors such as temperature, humidity, soil moisture and rain detector for collection the field data and processed.
An Internet-of-Things (IoT) System for Smart Farming and Environmental Management
nternational journal of advanced research in computer and communication engineering, 2023
Over decades, agriculture has seen tremendous revolution. The development of farm machineries such as tractors, harvesters, improved irrigation systems have contributed immensely to food security and sustainable economy. The development of Computers has contributed significantly in improving our daily activities, and agriculture is not an exception. New technology called Internet of Things (IoT) is bringing to light amazing developments in process automation, process control, data collection, and real-time response to events. It has helped in home automation, self-driving cars, Unmanned Aerial vehicles and many more. IoT can be applied in agriculture by means of sensors aimed at field monitoring, disease detection; temperature, humidity and soil moisture monitoring, automatic irrigation system, IoT based drones, farm animals monitoring etc. The change of climate in the Sahel, caused largely by global warming and desertification, has affected so much of production and farm output, we aim in this research to apply IoT technology in climate monitoring such as the temperature and humidity, soil moisture monitoring, crop management, precision farming practice, , farm management using End-to-End Farm Management System. The result shows an interesting output of the variations in temperature, humidity, soil moisture, sunlight levels and probable rain drops in the experiment site. The result were shown directly on the LCD screen attached to the Arduino microcontroller and at the same time transmitted over the internet to the IoT cloud and displayed on the Arduino IoT remote application. This research was implemented on a small part on an irrigation site and can thus be expanded to accommodate larger components for use on large farm site.