Year: 2025
Type: article
Abstract: The world's population will grow faster than ever in the next ten years. After this, food will be even more important. The old ways of growing won't be able to feed everyone when they need to. This is why it's important to use cutting-edge technologies to address the issues that arise when there are more people and more food. Smart agriculture heavily relies on AI and IoT for various farming tasks. Smart agriculture serves as the most sustainable approach for modern farms. Farmers use various monitors, including those that measure temperature, water levels, and rainfall. This study explores the potential applications of IoT and machine learning in farming. Another part of this study examines the usefulness and accuracy of various machine learning methods. Machine learning is a valuable tool for predicting the growth of various crops, selecting the most suitable ones for cultivation, and monitoring their progress. These algorithms consider diverse factors such as soil composition and compatibility classification to optimize crop selection for productive and sustainable farming practices.
DOI: 10.14419/8fb5k746
Authors: Preety Chaudhary, Preeti Gulia, Nasib Singh Gill
Institution: Maharshi Dayanand University
Topic: Smart Agriculture and AI
Subfield: Plant Science
Domain: Life Sciences
SDG: Zero hunger
Open Access status: diamond
OpenAlex ID: W4415958977
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