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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Agricultural robot for radicchio harvesting
Mario M. Foglia,Giulio Reina +1 more
TL;DR: A cost effective robotic arm is introduced for the harvesting of radicchio, which employs visual localization of the plants in the field based on intelligent color filtering and morphological operations, and is called the radichio visual localization (RVL).
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Image acquisition techniques for assessment of legume quality
Shveta Mahajan,Shveta Mahajan,Amitava Das,Amitava Das,Harish Kumar Sardana,Harish Kumar Sardana +5 more
TL;DR: In this article, the authors reviewed different image acquisition techniques that have been employed for quality evaluation of leguminous seeds and has relevance for engineers, food scientists and other agricultural researchers.