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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AI for Sustainable Agriculture: Smart Crop Monitoring with Computer Vision and IoT Sensors

Author(s) Mr. Kartikkumar Ashokbhai Pandya
Country United States
Abstract This dissertation explores the convergence of artificial intelligence (AI) and Internet of Things (IoT) technologies within sustainable agriculture. The goal is to automate crop monitoring via drone-based imaging and computer vision specifically, for keeping tabs on disease, soil health, and irrigation needs. There’s a particular focus here on the worldwide issue of refining crop monitoring techniques to boost agricultural output and reduce agriculture's negative impacts on the environment. Evidence suggests that pairing high-resolution (5 cm) aerial images with both soil moisture data and disease incidence records can really improve crop monitoring results. Indeed, AI image processing algorithms, as the research demonstrates, lead to roughly a 30% improvement in identifying diseases. Furthermore, they facilitate up to a 25% cut in agricultural water use through precisely timed irrigation. Generally speaking, these findings should influence agricultural practices; what's more, they have the potential to make food systems more sustainable. Benefits could include increased yields, less wasted resources, and, ultimately, better public health thanks to enhanced food security and nutritional quality. This dissertation offers some innovative and practical solutions to current agricultural problems. Plus, it showcases the importance of interdisciplinary strategies when tackling complex, global challenges related to both agriculture and environmental sustainability.
Keywords Ai, Sustainable Agriculture, Internet of Things
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 7, Issue 5, September-October 2025
Published On 2025-10-24
DOI https://doi.org/10.36948/ijfmr.2025.v07i05.58353
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E-ISSN 2582-2160
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