Identifying General Stress in Commercial Tomatoes Based on Machine Learning Applied to Plant Electrophysiology
Automated monitoring of plant health is becoming a crucial component for optimizing agricultural production. Recently, several studies have shown that plant electrophysiology could be used as a tool to determine plant status related to applied stressors. However, to the best of our knowledge, there...
Main Authors: | Elena Najdenovska, Fabien Dutoit, Daniel Tran, Antoine Rochat, Basile Vu, Marco Mazza, Cédric Camps, Carrol Plummer, Nigel Wallbridge, Laura Elena Raileanu |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-06-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/11/12/5640 |
Similar Items
-
Classification of Plant Electrophysiology Signals for Detection of Spider Mites Infestation in Tomatoes
by: Elena Najdenovska, et al.
Published: (2021-02-01) -
Plant electrophysiology : theory and methods /
by: Volkov, Alexander G. (Alexander George)
Published: (2006) -
Detecting stress caused by nitrogen deficit using deep learning techniques applied on plant electrophysiological data
by: Daniel González I Juclà, et al.
Published: (2023-06-01) -
Water status assessment in grapevines using plant electrophysiology
by: Amanda Cattani, et al.
Published: (2024-11-01) -
Machine Learning for Automatic Classification of Tomato Ripening Stages Using Electrophysiological Recordings
by: Gabriela Niemeyer Reissig, et al.
Published: (2021-10-01)