HIKE 发表于 2025-3-28 18:28:54
1865-0929a virtual event in June 2021. .The 12 papers presented were thoroughly reviewed and selected from the 25 qualified submissions. The papers provide discussion on new trends in communication and networking, Internet of Things, data processing for smart agriculture, renewable-energy based devices, low兴奋过度 发表于 2025-3-28 20:56:09
Fuzzy Logic Based Pasture Assessment Using Weed and Bare Patch Detection,res are one of the main sources for dairy farming that have a great share in economy of agriculture. Weeds are the main issue of pastures, which impose a huge cost to dairy farmers annually. This paper proposes designing a software framework based on a fuzzy logic system for pasture assessment and pSNEER 发表于 2025-3-29 01:02:51
http://reply.papertrans.cn/87/8691/869081/869081_43.pngPamphlet 发表于 2025-3-29 04:38:55
Deploying Deep Neural Networks on Edge Devices for Grape Segmentation,rful tool for precision viticulture, having a strong potential in cases such as yield estimation and automatic quality estimation of the grapes. Developing the models is one part of the problem, deploying them in the field, at the edge of the network, is another problem that comes with its own const戏法 发表于 2025-3-29 11:12:28
http://reply.papertrans.cn/87/8691/869081/869081_45.pngnarcissism 发表于 2025-3-29 12:24:05
http://reply.papertrans.cn/87/8691/869081/869081_46.png忘恩负义的人 发表于 2025-3-29 15:54:36
http://reply.papertrans.cn/87/8691/869081/869081_47.pngProject 发表于 2025-3-29 22:49:56
Comparison of Machine Learning and Deep Learning Methods for Grape Cluster Segmentation,using the classic feature extraction and classification approach. Many grape bunch detection algorithms have been proposed in the last decade and most of them follow this standard approach. An alternative is semantic segmentation with deep learning models. The main objective of this work is to compamydriatic 发表于 2025-3-30 02:34:49
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