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.
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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.
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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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In-field automatic observation of wheat heading stage using computer vision
TL;DR: Experimental results show that the proposed method significantly outperforms other existing methods with an average value of absolute error of 1.14 days on the test dataset, indicating that automatic observation is quite acceptable compared to manual observations.
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Robust Long-Term Registration of UAV Images of Crop Fields for Precision Agriculture
TL;DR: A method for registering images of agricultural fields taken by an UAV over the crop season is presented and a complete pipeline for computing temporally aligned three-dimensional (3-D) point clouds of the field is presented.
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Comparing UAV-Based Technologies and RGB-D Reconstruction Methods for Plant Height and Biomass Monitoring on Grass Ley
TL;DR: There was a reasonably good agreement between the UAV-based, the RGB-D-based estimates and the manual height measurements on both fields, and the use of aerial platforms could result a better option in grasslands.
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A pattern recognition strategy for visual grape bunch detection in vineyards
TL;DR: This work presents a method that employs visible spectrum cameras for robust grape berries recognition and grape bunch detection that does not require artificial illumination nor is limited to red or purple grape varieties.
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Smart Agricultural Machine with a Computer Vision-Based Weeding and Variable-Rate Irrigation Scheme
Chung-Liang Chang,Kuan-Ming Lin +1 more
TL;DR: A scheme that combines computer vision and multi-tasking processes to develop a small-scale smart agricultural machine that can automatically weed and perform variable rate irrigation within a cultivated field is proposed.