A Unified System for Precision Agriculture: Integration of IoT, AI, and Cloud Computing for Sustainable Farming

Authors: Arghadip Chakraborty1, Mahamuda Sultana2, Suman Bhattacharya3

1,2,3 Department of Computer Science & Engineering, Guru Nanak Institute of Technology

1arghadip02.chakraborty@gmail.com, 2mahamuda.sultana@gnit.ac.in, 3suman.bhattacharya@gnit.ac.in

Corresponding Author: arghadip02.chakraborty@gmail.com

Published in: Journal of Computer Science and Engineering in Innovations and Research (ISSN No: 3049-1762 online)

Publication Date: June 15, 2025

📄 Abstract

Modern farming is undergoing a significant change with the introduction of precision agriculture, which uses new technologies to farm better while protecting the environment. This paper introduces a complete system for precision agriculture that brings together technologies like Internet of Things (IoT) sensors, Artificial Intelligence (AI), machine learning, cloud computing, and edge computing to create an innovative, data-driven farming system. This system tackles key problems in today's agriculture, such as using resources more efficiently, increasing crop yields, and farming in a way that doesn't harm the environment. It uses real-time soil monitoring, checks on how crops are doing, precision watering, and automatic bug and disease detection. It applies fertilizers and pesticides at variable rates. By using satellite images, wireless sensor networks, and AI-based analysis, the system has been able to cut water use by up to 30%, reduce fertilizer use by 20%, and increase crop production by 15-20%. The system uses cloud computing to process large amounts of data, make predictions, and manage farms remotely. In contrast, edge computing allows for quick decisions at the field level. Field tests have proven that the system works well in different farming situations, leading to better resource use and more sustainable farming. This study helps move agriculture forward by combining traditional farming methods with modern digital technologies.

🔑 Keywords

Precision Agriculture, IoT, Artificial Intelligence, Cloud Computing, Smart Farming, Sustainable Agriculture, Machine Learning, Digital Twins

I. Introduction

Agriculture around the world has big problems in the 21st century. We need to feed more people (maybe 9.7 billion by 2050) while dealing with climate change, limited resources, and caring for the environment. Old farming ways, where everything in a field is treated the same, are not good enough anymore. Precision Agriculture (PA) can change things. It uses data to help farmers manage their land better. It helps them use the right amount of resources and get the most out of their crops by managing specific parts of their fields differently. The main idea is to give crops what they need, when and where they need it. This helps increase how much food we get while being kinder to the environment. Fast improvements in digital technology. Farmers can now collect, process, and study lots of farm data instantly. This helps them make smart choices and automate work on the farm.