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Titlebook: Computer and Computing Technologies in Agriculture IX; 9th IFIP WG 5.14 Int Daoliang Li,Zhenbo Li Conference proceedings 2016 IFIP Internat

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發(fā)表于 2025-3-25 06:14:29 | 只看該作者
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發(fā)表于 2025-3-25 12:31:13 | 只看該作者
Rajendra Prasad,Arnold F. Brodieposed to solve the problem of poor connectivity, single pixel and redundant pixels. Firstly, image pre-processing operations is used in order to obtain a binary image, then the binary image is thinned. In the refinement process, the connectivity of the skeleton is maintained by the introduction of E
24#
發(fā)表于 2025-3-25 19:48:35 | 只看該作者
Ernesto Carafoli,Martin Cromptonsture content by measuring dielectric constants. To optimize the performance of the designed sensor, electromagnetic waves with suitable frequencies are chosen first followed by deep studies on its transmission characteristic in grain media. Taking wheat as testing samples and applying a total of si
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發(fā)表于 2025-3-25 22:33:14 | 只看該作者
Daoliang Li,Zhenbo LiIncludes supplementary material:
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發(fā)表于 2025-3-26 10:29:39 | 只看該作者
The Growth Analysis in the Wheat Filling Process of the Two Hybrids and Their Parents Based on Richest that hybrids 1–12 and 8-1-54 have the higher capacity of graining filling than their parents and that may be associated with longer RGFP and higher maximum grain-filling rate. It was also found that Richards equation was more suitable for fitting the grain filling process of wheat than Logistic equation.
29#
發(fā)表于 2025-3-26 13:54:20 | 只看該作者
The Extraction Algorithm of Crop Rows Line Based on Machine Vision,uclidean distance. Experimental results show that the proposed method has good adaptability to the row crop, and the skeleton lines that are extracted is more accurate. Compared with the traditional algorithms, the error of the navigation line is relatively small by using this algorithm, which could meet the needs of the practical application.
30#
發(fā)表于 2025-3-26 19:32:18 | 只看該作者
Membrane-Bound Enzymes of Sterol Metabolismeature subset and identify the cotton foreign fibers. The results show that the metaheuristic-based feature selection methods can efficiently find the optimal feature sets consisting of a few features. It is highly significant to improve the performance of recognition system for cotton foreign fibers.
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