Trends and Prospect of Machine Vision Technology for Stresses and Diseases Detection in Precision Agriculture
Introducing machine vision-based automation to the agricultural sector is essential to meet the food demand of a rapidly growing population. Furthermore, extensive labor and time are required in agriculture; hence, agriculture automation is a major concern and an emerging subject. Machine vision-bas...
Main Authors: | Jaemyung Shin, Md. Sultan Mahmud, Tanzeel U. Rehman, Prabahar Ravichandran, Brandon Heung, Young K. Chang |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-12-01
|
Series: | AgriEngineering |
Subjects: | |
Online Access: | https://www.mdpi.com/2624-7402/5/1/3 |
Similar Items
-
Editorial: Machine vision and machine learning for plant phenotyping and precision agriculture
by: Huajian Liu, et al.
Published: (2023-11-01) -
Key Technologies of Machine Vision for Precision Measuring of Profile Deviations
by: Dongyuan Ge, et al.
Published: (2019-01-01) -
A comprehensive review of machine vision systems and artificial intelligence algorithms for the detection and harvesting of agricultural produce
by: Guduru Dhanush, et al.
Published: (2023-09-01) -
Computer Vision and Machine Learning for Viticulture Technology
by: Kah Phooi Seng, et al.
Published: (2018-01-01) -
Computer vision and machine learning with RGB-D sensors /
by: Shao, Ling
Published: (c201)