Machine Learning in Agriculture: A Comprehensive Updated Review
The digital transformation of agriculture has evolved various aspects of management into artificial intelligent systems for the sake of making value from the ever-increasing data originated from numerous sources. A subset of artificial intelligence, namely machine learning, has a considerable potent...
Main Authors: | Lefteris Benos, Aristotelis C. Tagarakis, Georgios Dolias, Remigio Berruto, Dimitrios Kateris, Dionysis Bochtis |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-05-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/21/11/3758 |
Similar Items
-
Machine Learning in Agriculture: A Review
by: Konstantinos G. Liakos, et al.
Published: (2018-08-01) -
Bridging the Gaps in Traceability Systems for Fresh Produce Supply Chains: Overview and Development of an Integrated IoT-Based System
by: Aristotelis C. Tagarakis, et al.
Published: (2021-08-01) -
Low-Cost Wireless Sensing System for Precision Agriculture Applications in Orchards
by: Aristotelis C. Tagarakis, et al.
Published: (2021-06-01) -
Optimal Sensor Placement and Multimodal Fusion for Human Activity Recognition in Agricultural Tasks
by: Lefteris Benos, et al.
Published: (2024-09-01) -
Explainable AI-Enhanced Human Activity Recognition for Human–Robot Collaboration in Agriculture
by: Lefteris Benos, et al.
Published: (2025-01-01)