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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Machine Learning Applications for Precision Agriculture: A Comprehensive Review
TL;DR: In this paper, the authors present a systematic review of ML applications in the field of agriculture, focusing on prediction of soil parameters such as organic carbon and moisture content, crop yield prediction, disease and weed detection in crops and species detection.
Journal ArticleDOI
Visual Perception Enabled Industry Intelligence: State of the Art, Challenges and Prospects
TL;DR: The previous research and application of visual perception in different industrial fields such as product surface defect detection, intelligent agricultural production, intelligent driving, image synthesis, and event reconstruction are reviewed.
Journal ArticleDOI
Industry 4.0 Disruption and Its Neologisms in Major Industrial Sectors: A State of the Art
Ocident Bongomin,Aregawi Yemane,Brendah Kembabazi,Clement Malanda,Mwewa Chikonkolo Mwape,Nonsikelelo Sheron Mpofu,Dan Tigalana,Dan Tigalana +7 more
TL;DR: In this paper, a study aimed at identifying industry 4.0 neologisms and illustrating the convergence of 12 disruptive technologies including 3D printing, artificial intelligence, augmented reality, big data, blockchain, cloud computing, drones, Internet of Things, nanotechnology, robotics, simulation, and synthetic biology in agriculture, healthcare, and logistics industries was illustrated.
Journal ArticleDOI
Exploring the relationship between ICT, SCM practices and organizational performance in agri-food supply chain
TL;DR: In this article, the role of information and communication technology (ICT) in agri-food supply chain and determines the impact of supply chain management (SCM) practices on firm performance.
Journal ArticleDOI
Robotic Aubergine Harvesting Using Dual-Arm Manipulation
TL;DR: A dual-arm aubergine harvesting robot consisting of two robotic arms configured in an anthropomorphic manner to optimize the dual workspace is presented, which enables the simultaneous harvesting of two aubergines and a collaborative behavior between the arms to solve occlusions.
References
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Journal ArticleDOI
Detection and classification of citrus diseases in agriculture based on optimized weighted segmentation and feature selection
Muhammad Sharif,Muhammad Attique Khan,Muhammad Attique Khan,Zahid Iqbal,Muhammad Faisal Azam,M. Ikram Ullah Lali,Muhammad Younus Javed +6 more
TL;DR: The proposed hybrid method for detection and classification of diseases in citrus plants outperforms the existing methods and achieves 97% classification accuracy on citrus disease image gallery dataset, 89% on combined dataset and 90.4% on the authors' local dataset.
Journal ArticleDOI
Research and development in agricultural robotics: a perspective of digital farming.
Redmond R. Shamshiri,Cornelia Weltzien,Ibrahim A. Hameed,Ian J. Yule,Tony E. Grift,Siva K. Balasundram,Lenka Pitonakova,Desa Ahmad,Girish Chowdhary +8 more
TL;DR: It was shown that one of the trends and research focuses in agricultural field robotics is towards building a swarm of small scale robots and drones that collaborate together to optimize farming inputs and reveal denied or concealed information.
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A review of the use of convolutional neural networks in agriculture
TL;DR: The overall findings indicate that CNN constitutes a promising technique with high performance in terms of precision and classification accuracy, outperforming existing commonly used image-processing techniques.
Journal ArticleDOI
Current and future applications of statistical machine learning algorithms for agricultural machine vision systems
TL;DR: Current application of statistical machine learning techniques in machine vision systems, analyses each technique potential for specific application and represents an overview of instructive examples in different agricultural areas are surveyed.
Journal ArticleDOI
Promoting sustainable intensification in precision agriculture: review of decision support systems development and strategies
TL;DR: In this article, the authors present the necessary technology to operate site-specifically, but they do not use it in practice, a common problem in precision agriculture, and propose a solution to this problem.