Computer vision technology in agricultural automation —A review
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TLDR
It is found that the existing technology can help the development of agricultural automation for small field farming to achieve the advantages of low cost, high efficiency and high precision, but there are still major challenges.About:
This article is published in Information Processing in Agriculture.The article was published on 2020-03-01 and is currently open access. It has received 228 citations till now.read more
Citations
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Journal ArticleDOI
3D Social Research: Analysis of Social Interaction Using Computer Vision
TL;DR: 3D social research (3DSR) as mentioned in this paper uses computer vision and 3D camera footage to study kinesics and proxemics, two core elements of social interaction.
Journal ArticleDOI
Image-Based Crop Leaf Disease Identification Using Convolution Encoder Networks
TL;DR: In this paper , a hybrid method using a combination of convolutional neural networks and an autoencoder for detecting crop leaf diseases was proposed, which achieved an accuracy of 99.82%.
Proceedings ArticleDOI
Performance Analysis of Deep Learning Architectures in Classifying Calamansi (Citrofortunella microcarpa)
TL;DR: It was determined that Resnet50 architecture with Adam as optimizer may be utilized to categorize Calamansi fruit or the Philippine lime.
Journal ArticleDOI
Sustainable Utilization of Machine-Vision-Technique-Based Algorithm in Objective Evaluation of Confocal Microscope Images
TL;DR: In this paper , an algorithm was designed based on machine vision techniques to extract the targeted objects in images that resulted from confocal images and then estimate the covered area to produce a percentage value similar to the outcome of the current method and is predicted to contribute to sustainable biotechnology image analyses by reducing time and labor consumption.
References
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Modern Trends in Hyperspectral Image Analysis: A Review
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Automatic Image-Based Plant Disease Severity Estimation Using Deep Learning.
Guan Wang,Yu Sun,Jianxin Wang +2 more
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