Quantifying sub-pixel signature of paddy rice field using an artificial neural network

Journal article

Peer reviewed

Manoj KARKEE, Brian L STEWARD, LIE LIE TANG and Samsuzana A AZIZ

Computers and electronics in agriculture, Vol.65(1), pp.65-76

2009

Handle:

https://hdl.handle.net/2376/115592

Abstract

Fundamental and applied biological sciences. Psychology

Biological and medical sciences

Agronomy. Soil science and plant productions

6 Record Views

Title: Quantifying sub-pixel signature of paddy rice field using an artificial neural network
Creators: Manoj KARKEE - Agricultural and Biosystems Engineering Department, Iowa State University, 100 Davidson Hall, Ames, IA, 50011, United States
Brian L STEWARD - Agricultural and Biosystems Engineering Department, Iowa State University, 100 Davidson Hall, Ames, IA, 50011, United States
LIE LIE TANG - Agricultural and Biosystems Engineering Department, Iowa State University, 100 Davidson Hall, Ames, IA, 50011, United States
Samsuzana A AZIZ - Agricultural and Biosystems Engineering Department, Iowa State University, 100 Davidson Hall, Ames, IA, 50011, United States
Publication Details: Computers and electronics in agriculture, Vol.65(1), pp.65-76
Academic Unit: Center for Precision and Automated Agricultural Systems
Publisher: Elsevier; Amsterdam
Identifiers: 99900547802001842
Language: English
Resource Type: Journal article