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Open AccessJournal ArticleDOI

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.
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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.

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Enablers to computer vision technology for sustainable E-waste management

TL;DR: In this article , the authors identify and analyze the complex interrelationships between the enablers of computer vision technology in e-waste management, including adaptability and reliability, cost reduction, quality control and safety management.
Book ChapterDOI

AI Is Leaving the Lab and Entering Society

TL;DR: In this article , the first neural networks entered the financial sector some time ago, however, the impact has been modest due to the limited scope for utilizing such forms of AI, and various applications of the technology have left the lab and spread through society.
Journal ArticleDOI

Internet of robotic things for mobile robots: concepts, technologies, challenges, applications, and future directions

TL;DR: A comprehensive survey of state-of-the-art technologies for mobile robots, including general architecture, benefits, challenges, practical applications, and future research directions, is presented in this article , where remarkable research of multi-robot navigation, network architecture, routing protocols and communications, and coordination among robots as well as data analysis via external computing (cloud, fog, edge, edge-cloud) are merged with the IoRT architecture according to their applicability.
Journal ArticleDOI

A method of monitoring and locating eggs laid by breeding geese based on photoelectric sensing technology

TL;DR: In this paper, an intelligent detection and positioning system is proposed by integrating technologies of the Radio Frequency (RF) and photoelectric sensors, together with the geometric calculation principle, to solve the detection of individual egg laying mainly depends on some judgement experiences of farm workers.
References
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Journal ArticleDOI

Machine Learning in Agriculture: A Review.

TL;DR: A comprehensive review of research dedicated to applications of machine learning in agricultural production systems is presented, demonstrating how agriculture will benefit from machine learning technologies.
Journal ArticleDOI

Hyperspectral Imaging: A Review on UAV-Based Sensors, Data Processing and Applications for Agriculture and Forestry

TL;DR: A survey including hyperspectral sensors, inherent data processing and applications focusing both on agriculture and forestry—wherein the combination of UAV and hyperspectrals plays a center role—is presented in this paper.
Journal ArticleDOI

Computer vision and artificial intelligence in precision agriculture for grain crops: A systematic review

TL;DR: This work presents a systematic review that aims to identify the applicability of computer vision in precision agriculture for the production of the five most produced grains in the world: maize, rice, wheat, soybean, and barley.
Journal ArticleDOI

Modern Trends in Hyperspectral Image Analysis: A Review

TL;DR: This review focuses on the fundamentals of hyperspectral image analysis and its modern applications such as food quality and safety assessment, medical diagnosis and image guided surgery, forensic document examination, defense and homeland security, remote sensing applicationssuch as precision agriculture and water resource management and material identification and mapping of artworks.
Journal ArticleDOI

Automatic Image-Based Plant Disease Severity Estimation Using Deep Learning.

TL;DR: The best model is the deep VGG16 model trained with transfer learning, which yields an overall accuracy of 90.4% on the hold-out test set.
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