Transforming Agriculture through Intelligent Farming: A Sustainable Pathway

Plant diseases lead to significant losses in both productivity and economic value, as well as a decline in the quality and quantity of agricultural yields. The identification of plant diseases has become an increasingly important aspect of agricultural monitoring. Farmers often face challenges when transitioning between different disease management strategies. Traditionally, plant disease detection relies on skilled visual inspection. This study examines the need for a simple system to detect plant leaf diseases, aimed at supporting agricultural advancements. Early detection of crop health issues and disease identification can help implement effective management practices, thereby improving agricultural productivity. The report also highlights the pros and cons of various approaches to disease detection.

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Publication Details

Published
2025-03-06
DOI
https://doi.org/10.1109/iatmsi64286.2025.10985077
Primary Topic
Smart Agriculture and AI
Type
article
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article

Transforming Agriculture through Intelligent Farming: A Sustainable Pathway

Manoj Kumar, Muhammad Mannan Afzal, Madhuri Sharma, Gaurav Pushkarna et al.
Smart Agriculture and AI
article

Transforming Agriculture through Intelligent Farming: A Sustainable Pathway

Manoj Kumar, Muhammad Mannan Afzal, Madhuri Sharma, Gaurav Pushkarna, Shailendra Singh Sikarwar, Siva Shankar S
article en

Abstract

Plant diseases lead to significant losses in both productivity and economic value, as well as a decline in the quality and quantity of agricultural yields. The identification of plant diseases has become an increasingly important aspect of agricultural monitoring. Farmers often face challenges when transitioning between different disease management strategies. Traditionally, plant disease detection relies on skilled visual inspection. This study examines the need for a simple system to detect plant leaf diseases, aimed at supporting agricultural advancements. Early detection of crop health issues and disease identification can help implement effective management practices, thereby improving agricultural productivity. The report also highlights the pros and cons of various approaches to disease detection.

Jiwaji University (IN), Lovely Professional University (IN), Glocal University (IN), Kerala University of Health Sciences (IN)
Zero hunger
Openalex Percentile: Top 93%
Smart Agriculture and AI
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Transforming Agriculture through Intelligent Farming: A Sustainable Pathway — Manoj Kumar, Muhammad Mannan Afzal, et al. · (2025) | TGRS Research Map | TGRS