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Titlebook: Computer and Computing Technologies in Agriculture XI; 11th IFIP WG 5.14 In Daoliang Li,Chunjiang Zhao Conference proceedings 2019 IFIP Int

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發(fā)表于 2025-4-1 03:04:36 | 只看該作者
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Research on High Resolution Remote Sensing Image Classification Based on Convolution Neural Networkion, yet the problem that could not effectively convey a higher level of abstract feature still need to be improved. This paper, relying on the convolution neural network algorithm, has conducted on the high-resolution remote sensing image classification method. Firstly, structure of convolution neu
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發(fā)表于 2025-4-1 21:20:02 | 只看該作者
Computer Vision and Feeding Behavior Based Intelligent Feeding Controller for Fish in Aquaculture, high. they can’t change the amount of feed according to the fish appetite automatically. In order to solve the above issues, in this paper, a feeding controller based on machine vision and feeding behavior was designed on the basis of the original feeder. The hardware platform was built on the I.MX
66#
發(fā)表于 2025-4-2 02:01:43 | 只看該作者
Multi-scale 3D Data Acquisition of Maize,earches. However, the morphological structure of plants is very complex and it is hard to describe the details. The data acquisition approaches are diverse for different parts of plants. This study introduces the data acquisition methods of different scales of maize. The grain, leaf and ear, individ
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