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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Proceedings ArticleDOI
An IoT & AI-assisted Framework for Agriculture Automation
TL;DR: In this article , the authors proposed an IoT and AI-assisted framework to resolve the food and agricultural problems for smart and sustainable agriculture, which can reduce the number of hazardous pesticides used and the amount of water needed for irrigation.
Proceedings ArticleDOI
Application of Deep Neural Networks for Weed Detection and Classification
TL;DR: In this article , the authors presented the application and comparison of machine learning techniques, with the aim of automating the classification of images for agricultural challenges, such as the detection of defective seeds, and weeds and the category between these and native vegetation, while finally, the architecture of a convolutional neural network is presented.
Journal ArticleDOI
Construction of models for managing military waste generated under the conditions of war
Valentyna Marchenko,A. V. Hrechko,Olena Korohodova,Nataliia Kuzminska,V. L. Osetskyi,Vitaliy Shutyuk,Elvira Danilova +6 more
TL;DR: In this paper , military waste management models as a system of actions and processes aimed at choosing how to handle it are presented. But the main subject of management of such waste is the state represented by state authorities and management.
Journal ArticleDOI
Visual Object Tracking Based on Deep Neural Network
Zhifeng Diao,Fanglei Sun +1 more
TL;DR: This paper analyzes the abovementioned difficult factors, uses the tracking framework based on deep learning, and combines the attention mechanism model to accurately model the target, aiming to improve tracking algorithm.
Journal ArticleDOI
NDT‐6D for color registration in agri‐robotic applications
TL;DR: In this article , a color-based variation of the Normal Distribution Transform (NDT) registration approach for point clouds is proposed, which computes correspondences between pointclouds using both geometric and color information and minimizes the distance between these correspondences using only the three-dimensional (3D) geometric dimensions.
References
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