Publication: A novel intelligent system to nitrogen content prediction in plants using indirect chlorophyll measurements
No Thumbnail Available
Date
2001-01-01
Advisor
Coadvisor
Graduate program
Undergraduate course
Journal Title
Journal ISSN
Volume Title
Publisher
Amer Soc Agr Engineers
Type
Work presented at event
Access right
Acesso aberto
Abstract
The accurate identification of the nitrogen content in plants is extremely important since it involves economic aspects and environmental impacts, Several experimental tests have been carried out to obtain characteristics and parameters associated with the health of plants and its growing. The nitrogen content identification in plants involves a lot of non-linear parameters and complexes mathematical models. This paper describes a novel approach for identification of nitrogen content thought SPAD index using artificial neural networks (ANN). The network acts as identifier of relationships among, crop varieties, fertilizer treatments, type of leaf and nitrogen content in the plants (target). So, nitrogen content can be generalized and estimated and from an input parameter set. This approach can form the basis for development of an accurate real time system to predict nitrogen content in plants.
Description
Keywords
Language
English
Citation
Proceedings of the World Congress of Computers In Agriculture and Natural Resources. St Joseph: Amer Soc Agr Engineers, p. 29-35, 2001.
