International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 12 Issue: 03 | Mar 2025
p-ISSN: 2395-0072
www.irjet.net
Smart Agriculture: A Review of Smart Farming Technologies and Application of Internet of Things in Agriculture. Asst. Prof. Satvir Swami, Mr. Mayur Kanawade, Mr. Rushikesh Gavande, Mr. Shubham Auti Assistant Professor, Department of computer Science, Dr. D.Y. Patil Arts, Commerce & Science College,Pimpri,Pune18. MSc(CS) Student, Dr. D.Y. Patil Arts,C ommerce & Science College,Pimpri,Pune-18. MSc(CS) Student, Dr. D.Y. Patil Arts, Commerce & Science College,Pimpri,Pune-18. MSc(CS) Student, Dr. D.Y. Patil Arts, Commerce & Science College,Pimpri,Pune-18. ---------------------------------------------------------------------***--------------------------------------------------------------------remotely, with a LCD display showing real-time field Abstract: The increasing demand for sustainable and conditions. The setup is accessible through an IoT platform for remote monitoring and control. This automated approach reduces water use, cuts down on manual labor, and promotes sustainable farming. By using IoT, this project aims to make agriculture smarter, more productive, and environmentally friendly.
efficient agricultural practices necessitates the adoption of advanced technologies to optimize resource management. This paper presents an IoT-based automated agriculture system designed for real-time monitoring and control of environmental conditions in farming. The system incorporates sensors for rain, soil moisture, and temperature, interfacing with a Raspberry Pi for data processing and decision-making. By automating irrigation through a stepper motor based on soil moisture levels, the system ensures optimal water usage while reducing manual intervention. Real-time data is displayed on an LCD screen and accessible remotely via an IoT platform, empowering farmers to monitor and manage their fields conveniently. The project leverages Proteus simulation software for virtual testing and evaluation, ensuring reliability and robustness. This innovative approach integrates IoT with traditional farming, enhancing productivity, reducing labor costs, and promoting sustainable agriculture. By addressing challenges like water conservation and labor shortages, the proposed system underscores the transformative potential of IoT in revolutionizing modern agriculture.
2.Key Areas for Smart Agriculture
IoT-Based Farming: Sensors for soil, weather, and crop monitoring; smart irrigation and GPS tracking.
Precision Agriculture: Data-driven crop management, fertilization, and pest control.
Automated Irrigation: IoT-controlled smart irrigation systems with Raspberry Pi & cloud access.
AI & Machine Learning: Crop disease detection, yield prediction, and weather forecasting.
Drones & Remote Sensing: UAVs for crop monitoring and spraying; satellite-based analysis.
Cloud & Big Data: Real-time farm data processing and AI integration.
Sensor, Temperature Sensor, Stepper Motor, IoT Platform, Proteus, Python, ADC, Sustainable Agriculture.
Blockchain: Supply chain tracking and smart contracts for agribusiness.
1.Introduction
Robotics & Automation: AI-powered harvesting, and self-driving tractors.
Key Words Raspberry Pi, Rain Sensor, Soil Moisture
planting,
Agriculture is essential for food production but often faces challenges like water scarcity, labor shortages, and inefficient practices. Traditional methods can waste resources and are labor-intensive. IoT (Internet of Things) technology offers a solution by enabling "smart farming," where sensors and devices collect data on field conditions, allowing for precise, data-driven decisions. This project, Automation in Agriculture using IoT, aims to create a system that automatically adjusts irrigation based on real-time data from rain, soil moisture, and temperature sensors. Using a Raspberry Pi to process this data, the system can manage irrigation efficiently and
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