Title :
Management decision-making support system of percision agriculture based on CNCS
Author :
Qingyuan, Ma ; Chao, Zhang ; Zhenghua, Chen ; Zhen, Yang
Author_Institution :
Renmin Univ. of China, Beijing
Abstract :
Precision agriculture needs a mass of data, therefore data availability is a vital obstacle factor for precision agriculture technology widely use. The methods of acquisition data for precision agriculture change from field survey to sensor acquisition gradually. Remote Sensing plays an important role in the large-scale, real-time, multi-spectral data acquisition. But there are still some problems when Remote Sensing data are applied in the actual farm production and management, which result in that precision agriculture´s advantages are limited, so finding the solution of data acquisition for precision agriculture based on remote sensing becomes very necessary. In this paper, the NPP, NDVI, LAI etc are retrieved from remote sensing data, the field investigation data are also obtained. We set up a decision-making system based on CNCS (central neural control system), which is composed of several module such as data updating, data editing, decision-making supporting. The system is made for the farmers to decide cultivation strategies on when, where and how much irrigation, fertilizer and pesticide should be applied on each plot.
Keywords :
agriculture; data acquisition; decision making; decision support systems; geophysics computing; remote sensing; central neural control system; data acquisition; data editing; data updating; decision-making support system; farm management; farm production; field survey; precision agriculture; remote sensing; sensor acquisition; Agriculture; Centralized control; Computer numerical control; Control systems; Data acquisition; Decision making; Information retrieval; Large-scale systems; Production; Remote sensing; GPS; Remote Sensing; precision agriculture; spectral reflectance characteristic;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2007. IGARSS 2007. IEEE International
Conference_Location :
Barcelona
Print_ISBN :
978-1-4244-1211-2
Electronic_ISBN :
978-1-4244-1212-9
DOI :
10.1109/IGARSS.2007.4422922