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The Role of Artificial Intelligence and Machine Learning Models to Optimize Fertilizer Consumption for Sustainable Agricultural Growth: AI for Precision Agriculture

The Role of Artificial Intelligence and Machine Learning Models to Optimize Fertilizer Consumption for Sustainable Agricultural Growth: AI for Precision Agriculture
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Author(s): Shiv Kumar Singh Pundhir (Christ University, Bengaluru, India), Seemant Kumar Yadav (GLA University, India), Aniruddh Vijay (School of Open Learning, University of Delhi, India)and Sandeep Kumar (Noida Institute of Engineering and Technology, India)
Copyright: 2026
Pages: 34
Source title: Precision and Intelligence in Agriculture: Advanced Technologies for Sustainable Farming
Source Author(s)/Editor(s): Pawan Whig (Vivekananda Institute of Professional Studies, India)and Ahmed Elngar (Beni-Suef University, Egypt)
DOI: 10.4018/979-8-3373-5283-1.ch010

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Abstract

Agriculture and food are very important and basic needs for humans. From ancient time human started to feed themselves with the help of grains and animal's products. Later agriculture sector revolutionized with the production of various crops. Rice, wheat and pulses are grown at large to feed the worldwide population. World population is increasing rapidly. In 2000 worldwide population was 600 crores which becomes 800 crores in 2025. To feed a large population, farmers have to yield more crops with a limited resources. Farmers were using traditional methods for a long period to grow the crops, but these traditional methods are not enough to feed the growing population. AI and data driven approaches can help a lot modern agriculture sector by analyzing the data of soil quality, weather conditions, need of nutrients, pesticides and fertilizers. By collecting a large real time data with the help of sensors, drones and AI enabled machinery, can help a lot farmers to know the exact demand of crops as per the conditions.

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