International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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

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Development of Crop Health Monitoring System

Author(s) Ms. Shivani Ojha
Country India
Abstract Monitoring crop health is vital for sustainable agriculture. Integrating computer vision and AI/ML enables real-time analysis, disease detection, and precision interventions. Techniques like SVM, random forest, and gradient boosting enhance decision-making and productivity. This research explores region-specific challenges and opportunities, supporting future-ready, profitable, and environmentally responsible farming solutions.
Keywords Crop health monitoring, Artificial intelligence (AI), Machine Learning (ML), Diseases, Internet of Things, Pre- Processing, Prediction, Wireless Senor Network
Field Biology > Agriculture / Botany
Published In Volume 7, Issue 2, March-April 2025
Published On 2025-04-27
DOI https://doi.org/10.36948/ijfmr.2025.v07i02.42088
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