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

Year: 2026

Type: article

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.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.22308788

Authors: Shanto, Rahatul Hossen, Jerin Tasnim, Ashraful Islam, Fatiha Jannat, Prof. Amjad Hossain

Language: English

Topic: Smart Agriculture and AI

Subfield: Plant Science

Field: Agricultural and Biological Sciences

Domain: Life Sciences

SDG: Zero hunger

Open Access status: green

OpenAlex ID: W7208765089

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