A Deep Learning Framework for Plant Disease Severity Estimation to Optimize Chemical Pesticide Dosage

Plant diseases caused by fungal, bacterial, and viral pathogens represent a significant threat to global food security. To address this critical research gap, this paper introduces a comprehensive deep learning-based framework designed not only for disease identification and severity estimation, but also for targeted pesticide dosage optimization.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-04
DOI
https://doi.org/10.5281/zenodo.22308789
Primary Topic
Fungal Plant Pathogen Control
Type
article
Field-Weighted Citation Impact
0.00
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article

A Deep Learning Framework for Plant Disease Severity Estimation to Optimize Chemical Pesticide Dosage

Rahatul Hossen Shanto, Ashraful Islam, Fatiha Jannat, Prof. Amjad Hossain et al.
Zenodo (CERN European Organization for Nuclear Research)
Fungal Plant Pathogen Control
article

A Deep Learning Framework for Plant Disease Severity Estimation to Optimize Chemical Pesticide Dosage

Rahatul Hossen Shanto, Ashraful Islam, Fatiha Jannat, Prof. Amjad Hossain, Jerin Tasnim
article en

Abstract

Plant diseases caused by fungal, bacterial, and viral pathogens represent a significant threat to global food security. To address this critical research gap, this paper introduces a comprehensive deep learning-based framework designed not only for disease identification and severity estimation, but also for targeted pesticide dosage optimization.

Zenodo (CERN European Organization for Nuclear Research)
Robotics Research (United States) (US)
Zero hunger
Openalex Percentile: Top 6%
Fungal Plant Pathogen Control
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