Coffee Rust Severity Analysis in Agroforestry Systems Using Deep Learning in Peruvian Tropical Ecosystems

Coffee Rust Severity Analysis in Agroforestry Systems Using Deep Learning in Peruvian Tropical Ecosystems

Agroforestry systems can influence the occurrence and abundance of pests and diseases because integrating crops with trees or other vegetation can create diverse microclimates that may either enhance or inhibit their development. This study analyzes the severity of coffee rust in two agroforestry sy...

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Bibliographic Details
Main Authors: Candy Ocaña-Zuñiga, Lenin Quiñones-Huatangari, Elgar Barboza, Naili Cieza Peña, Sherson Herrera Zamora, Jose Manuel Palomino Ojeda
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Agriculture
Subjects:
agroforestry
disease assessment
coffee diseases
convolutional neural networks
AI in agriculture
deep learning
Online Access:https://www.mdpi.com/2077-0472/15/1/39
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