By Qiulan Wu, Yongxiang Sun, Xiaoxia Yang (auth.), Daoliang Li, Yande Liu, Yingyi Chen (eds.)
This publication constitutes half III of the refereed four-volume post-conference lawsuits of the 4th IFIP TC 12 overseas convention on computing device and Computing applied sciences in Agriculture, CCTA 2010, held in Nanchang, China, in October 2010. The 352 revised papers offered have been conscientiously chosen from a number of submissions. They hide a variety of attention-grabbing theories and functions of data expertise in agriculture, together with simulation versions and decision-support platforms for agricultural construction, agricultural product caliber checking out, traceability and e-commerce expertise, the applying of data and conversation expertise in agriculture, and common info provider know-how and repair platforms improvement in rural areas.
Read Online or Download Computer and Computing Technologies in Agriculture IV: 4th IFIP TC 12 Conference, CCTA 2010, Nanchang, China, October 22-25, 2010, Selected Papers, Part III PDF
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Additional resources for Computer and Computing Technologies in Agriculture IV: 4th IFIP TC 12 Conference, CCTA 2010, Nanchang, China, October 22-25, 2010, Selected Papers, Part III
Rational design of software is not only development cycle short, low cost, but also readable, easy to maintain. On the contrary, free software written in is not only difficult to grasp, but also poor to read, hard to maintain, there may even be unable to complete the code and lead to the situation half-way scrap. The modular software design with high cohesion, low coupling principle of the software is divided into relatively independent of the number of parts in order to separate design and code of preparation, make the structure of the whole system easily understand.
Smooth and efficient business processes. The business can achieve effective interface between the upstream and downstream enterprises with smooth and efficient business process. So business in the supply chain business process integration should be preceded by rationalization, optimization and reconstruction, the establishment of efficient standardization of business norms. 3). A sound management system and operating specifications. Different enterprise has different business processes and operations, which make a lot of inconvenience in communication.
Use density DBSCAN fuzzy clustering algorithm to determine a cluster gather on the each target. (a)(d) field collection of original image (b)(e) I grayscale (c)(f)image that used the fuzzy clustering algorithm. First image (a) and (d) for conversion, RGB model is transformed into a HIS model, generated I component of the gray image (b) and (e). I grayscale was application by DBSCAN clustering algorithm, which can find pixels that density was more 24 M. Li et al. concentrated, with this method, we can , in the image, find the green plants of each strain to one or several cluster set (also the same pixel density is set).