Computer and Computing Technologies in Agriculture IV: 4th by Qiulan Wu, Yongxiang Sun, Xiaoxia Yang (auth.), Daoliang Li,

By Qiulan Wu, Yongxiang Sun, Xiaoxia Yang (auth.), Daoliang Li, Yande Liu, Yingyi Chen (eds.)

This e-book constitutes half III of the refereed four-volume post-conference court cases 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 provided have been conscientiously chosen from quite a few submissions. They disguise quite a lot of fascinating theories and functions of data expertise in agriculture, together with simulation types and decision-support platforms for agricultural creation, agricultural product caliber trying out, traceability and e-commerce know-how, the applying of data and conversation know-how in agriculture, and common info carrier know-how and repair structures improvement in rural areas.

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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

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Giles developed cotton weeding machine robot based on the cultivation platform in 2002[4], University of Kansas, NINGWANG designed a real-time embedded wheat weed identification and spraying on the target system in 2002[5], Gerhards designed the precise spraying system based on map information[6], R. Tangwongkit, V. M. Salokhe development variable spraying embedded system between the sugarcane lines and based on machine vision[7]. China Agricultural University study of automatic target pesticide system[8], Orchard Automatic Target electrostatic sprayer[9], automatic spraying system that automatically spraying disease plant [10], Nanjing Forestry University of trees study of a system based on machine vision image acquisition and real-time identification system[11].

Limiting surface of software system was friendly, simple clear and satisfy the real-time processing the request. References 1. : Robotic weed control system for tomatoes using machine vision system and precision chemical application. An ASAE Meeting Presentation 3093, 1–14 (1997) 2. : Corn seedling weed identification in machine vision research Yang Ling: Northwest A&F University, 3 (2002) 3. : An experimental sprayer for the spatially selective application of herbicides. J. Agric-Eng. Res. 60(2), 107–116 (1995) 4.

With the development of safety detection, all kinds of test items and test equipments were available. After each test, there will be a large number of data. In this case, on one side, could improve the level of food security testing, and on the other hand, new requirements for data acquisition and processing technology would be proposed. CPLD is short for Complex Programmable Logic Device. Comparing with previous data collector, it has a higher acquisition speed and more stable. In the previous case, after data collecting, single chip microcomputer was used as the main tool for data Analysis.

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