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Titlebook: Computer and Computing Technologies in Agriculture X; 10th IFIP WG 5.14 In Daoliang Li Conference proceedings 2019 IFIP International Feder

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發(fā)表于 2025-3-21 18:26:14 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Computer and Computing Technologies in Agriculture X
副標(biāo)題10th IFIP WG 5.14 In
編輯Daoliang Li
視頻videohttp://file.papertrans.cn/235/234351/234351.mp4
叢書(shū)名稱IFIP Advances in Information and Communication Technology
圖書(shū)封面Titlebook: Computer and Computing Technologies in Agriculture X; 10th IFIP WG 5.14 In Daoliang Li Conference proceedings 2019 IFIP International Feder
描述This book constitutes the refereed post-conference proceedings of the 10th IFIP WG 5.14 International Conference on Computer and Computing Technologies in Agriculture, CCTA 2016, held in Dongying, China, in October 2016.?.The 55 revised papers presented were carefully reviewed and selected from 128 submissions. They cover a wide range of interesting theories and applications of information technology in agriculture, including intelligent sensing,?cloud computing, key technologies of the Internet of Things, precision agriculture, animal husbandry information technology, including Internet + modern animal husbandry, livestock big data platform and cloud computing applications, intelligent breeding equipment, precision production models, water product networking and big data , including fishery IoT,?intelligent?aquaculture facilities, and big data applications..
出版日期Conference proceedings 2019
關(guān)鍵詞artificial intelligence; clustering; clustering algorithms; computers in agriculture; crop yield; data mi
版次1
doihttps://doi.org/10.1007/978-3-030-06155-5
isbn_ebook978-3-030-06155-5Series ISSN 1868-4238 Series E-ISSN 1868-422X
issn_series 1868-4238
copyrightIFIP International Federation for Information Processing 2019
The information of publication is updating

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Study on the Theory and Practice of Data Visualization, visualization. Through the “Agricultural planning visualization” case, the technology process of data visualization applied in production has been established, which can be described as 4 steps operated by order. The first step is to determine and decompose a target. The second step is data acquisi
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Detection of Defects in , Nakai Using Hyperspectral Imaging, selected for principal components analysis (PCA). Finally, the images of PCA were employed to identify the location and area of a defect’s feature through imaging processing. Through sobel operator and region growing algorithm, the edge and defective feature of 38 . Nakai can be recognized and the
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Calculation of Effective Rainfall in the Spring Maize Growing Period,rological conditions and different irrigation. And then this paper applied this method to analyze the effective rainfall of spring maize and simulate daily soil water content. The results show that: with the increase of rainfall, effective rainfall decreases. With the increase of irrigation amount,
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Searching Records and Handling Dates,rological conditions and different irrigation. And then this paper applied this method to analyze the effective rainfall of spring maize and simulate daily soil water content. The results show that: with the increase of rainfall, effective rainfall decreases. With the increase of irrigation amount,
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