Back to search

Article

Deep Learning in Precision Phytopathology: A Comprehensive Survey of CNN Architectures for Disease Detection and Severity Quantification

2026-04-01

Abstract excerpt

<title>Abstract</title> <p>Plant diseases are a major threat to the global agricultural productivity causing considerable yield losses and economic damage. Recent developments in Artificial Intelligence (AI) and specifically in Deep Learning has led to a revolution in the diagnosis of plant diseases with automated and scalable analysis of the crop images. This review offers an extensive synthesis of Convolution N...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
e9bc6878-6abe-56b1-aa57-fc84bd1c19b5
DOI
10.21203/rs.3.rs-9057771/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Deep Learning in Precision Phytopathology: A Comprehensive Survey of CNN Architectures for Disease Detection and Severity QuantificationDOI 10.21203/rs.3.rs-9057771/v1
Select a neighboring publication to make it the new centre.