Development of a Robust CNN Model for Mango Leaf Disease Detection and Classification: A Precision Agriculture Approach-Reference-Cited by-同舟云学术

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Development of a Robust CNN Model for Mango Leaf Disease Detection and Classification: A Precision Agriculture Approach

Published:2024-07-16 Issue:8 Volume:4 Page:806-817
ISSN:2692-1952
Container-title:ACS Agricultural Science & Technology
language:en
Short-container-title:ACS Agric. Sci. Technol.

Author:

Pathak Amit Kumar¹,Saikia Ponkaj¹,Dutta Sanghamitra¹,Sinha Subrata²,Ghosh Subrata¹³^ORCID

Affiliation:

1. Natural Product Chemistry Group, Chemical Sciences & Technology Division, CSIR-North East Institute of Science & Technology, Jorhat 785006, Assam, India

2. Department of Computational Sciences, Brainware University, Kolkata 700125, West Bengal, India

3. Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India

Funder

Council of Scientific and Industrial Research, India

CSIR-North East Institute of Science and Technology

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acsagscitech.4c00122

Reference35 articles.

1. Plant disease detection and classification techniques: a comparative study of the performances

2. Mango Pathology and Diseases

3. Improvement of Postharvest Anthracnose Resistance in Mango Fruit by Nitric Oxide and the Possible Mechanisms Involved

4. Design of Vegetable Pest Identification System Based on Improved Alexnet Algorithm and 5G Communication

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