Detection and Characterization of Stressed Sweet Cherry Tissues Using Machine Learning

Detection and Characterization of Stressed Sweet Cherry Tissues Using Machine Learning

Recent technological developments in the primary sector and machine learning algorithms allow the combined application of many promising solutions in precision agriculture. For example, the YOLOv5 (You Only Look Once) and ResNet Deep Learning architecture provide high-precision real-time identificat...

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Bibliographic Details
Main Authors: Christos Chaschatzis, Chrysoula Karaiskou, Efstathios G. Mouratidis, Evangelos Karagiannis, Panagiotis G. Sarigiannidis
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Drones
Subjects:
sweet cherries trees
diseases detection
Yolov5
MACHINE LEARning
precision agriculture
ResNet
Online Access:https://www.mdpi.com/2504-446X/6/1/3

Internet

https://www.mdpi.com/2504-446X/6/1/3

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