Remotely piloted aircraft system and machine learning for detection of coffee plants subjected to foliar application of chitosan

Remotely piloted aircraft system and machine learning for detection of coffee plants subjected to foliar application of chitosan

Considered a biostimulant, chitosan can affect the physiological responses of plants to water deficit, acting as an antitranspirant under agricultural stress. Currently, images obtained by Remotely Piloted Aircraft Systems (RPAS), together with machine learning techniques, aid in resolving agricultu...

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Bibliographic Details
Main Authors: Nicole Lopes Bento, Gabriel Araújo e Silva Ferraz, Mirian De Lourdes Oliveira, Alisson André Vicente Campos, Milene Alves de Figueiredo Carvalho, Dalyse Toledo Castanheira, Ana Cristina de Souza, Tulio de Paula Pires, Giuseppe Rossi, Valentina Becciolini
Format: Article
Language:English
Published: Taylor & Francis Group 2025-12-01
Series:European Journal of Remote Sensing
Subjects:
Digital agriculture
multispectral images
precision coffee growing
remote sensing
Online Access:https://www.tandfonline.com/doi/10.1080/22797254.2025.2476632
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