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Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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Plant Leaves Disease Detection

descriptionPublicationkeyboard_double_arrow_right Article 08 Feb 2025Embargo end date: 20 Jul 2024 English Publisher:Zenodo
Authors: Rashtrasant Tukadoji Maharaj Nagpur University; Bawankar, Prajwal; Wagh, Dipali; Khawase, Arpita; Patle, Rajni; Bhagat, Divya;

doi: 10.5281/zenodo.14835156 , 10.5281/zenodo.14835155

Plant Leaves Disease Detection

Abstract

This project focuses on the detection of plant leaf diseases using machine learning techniques. It aims to provide users with effective remedial measures for crop diseases by analyzing images of diseased plants. The application utilizes the InceptionV3 algorithm for image processing and classification.

Keywords

Crop Health Monitoring, Plant Disease Detection, Agricultural Technology

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
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