Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Pundhir, Shiv Kumar Singh; Yadav, Seemant Kumar; Vijay, Aniruddh; Kumar, Sandeep Title A name given to the resource The role of artificial intelligence and machine learning models to optimize fertilizer consumption for sustainable agricultural growth: AI for precision agriculture Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Precision and Intelligence in Agriculture: Advanced Technologies for Sustainable Farming;pp.273-306 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/979-8-3373-5283-1.ch010" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3373-5283-1.ch010</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105012683084?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105012683084?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Pundhir S.K.S., Christ University, Bengaluru, India; Yadav S.K., GLA University, India; Vijay A., School of Open Learning, University of Delhi, India; Kumar S., Noida Institute of Engineering and Technology, India Description An account of the resource 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. 2026, IGI Global Scientific Publishing. Publisher An entity responsible for making the resource available IGI Global Relation A related resource ISBN: 979-833735285-5; 979-833735283-1; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online