International Journal on Science and Technology

E-ISSN: 2229-7677   •   Impact Factor: 9.88

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 16 Issue 3 July-September 2025 Submit your research before last 3 days of September to publish your research paper in the issue of July-September.
Submit Research Paper Join as a Reviewer

Plagiarism is checked by the leading plagiarism checker TurnItIn

Call for Paper

Volume 16 Issue 3
July-September 2025

Submit your research paper

Indexing Partners
Academia Advanced Sciences Index Bielefeld Academic Search Engine CiteSeer DRJI Google Scholar Independent Search Engine & Directory Network ISI (International Scientific Indexing) Issuu Mendeley Research Networks
RefSeek ResearcherId - Thomson Reuters ResearchGate Scirus Scribd Semantic Scholar UTeM - Universiti Teknikal Malaysia Melaka Wiki for Call for Papers WorldCat Zenodo

Harnessing Artificial Intelligence for Precision Agriculture: Monitoring Crop Health, Optimizing Irrigation, and Predicting Harvest Timelines

Author(s) Ms. Sukeshni Moon
Country India
Abstract The integration of Artificial Intelligence (AI) into agriculture is revolutionizing traditional farming practices by enabling precision agriculture through data-driven insights. This paper explores how AI-powered technologies particularly drones and sensors are being deployed to monitor crop health, optimize irrigation, and predict harvest times. By collecting and analyzing real-time field data, these intelligent systems can detect early signs of pest infestations, nutrient deficiencies, and environmental stressors, facilitating timely interventions that improve yield and reduce resource waste. The study also examines real-world applications, including how machine learning algorithms interpret multispectral images and sensor outputs to support decision-making. Furthermore, this research highlights the benefits of AI in improving operational efficiency, conserving water, and enhancing food security. While the adoption of AI poses challenges such as infrastructure costs and the digital literacy gap among farmers, the potential for scalability and sustainability makes it a critical innovation for the future of agriculture. This paper concludes that AI is not merely an enhancement but a transformative force reshaping agriculture into a more intelligent, resilient, and productive sector.
Keywords Keywords: Artificial Intelligence, Precision Agriculture, Crop Health Monitoring, Irrigation Optimization, Harvest Prediction, Drones, Sensors, Smart Farming.
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 16, Issue 3, July-September 2025
Published On 2025-07-24
DOI https://doi.org/10.71097/IJSAT.v16.i3.7169
Short DOI https://doi.org/g9vdc6
View / Download PDF File

Share this


CrossRef

CrossRef DOI is assigned to each research paper published in our journal.

IJSAT DOI prefix is
10.71097/IJSAT

Downloads
Research Paper Format Copyright Permission Form and Undertaking Form Cover Page Vol 16 Isu 3Cover Page Vol 16 Isu 2Cover Page Vol 16 Isu 1

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA Open Access

About IJSAT
Fees & Payment
Current Issue
Publication Archive 		Submit Research Paper
Track Submission Status
Publication Guidelines
Publication Ethics
Peer Review & Plagiarism 		Join as a Reviewer
Editors & Reviewers
Reviewer Referral Program
Get Reviewer Membership Certi. 		Website/Journal Policies
Usage Policy
Content Policies
Privacy Policy
Contact Us Message on WhatsApp +91-9687-182-185 editor@ijsat.org