Spectral prediction of Phytophthora infestans infection on tomatoes using artificial neural network (ANN)

International Journal of Remote Sensing

Volumn 29, Issue 6, 2008, Pages 1693-1706

  Wang, X ^a,b   Zhang, M ^b   Zhu, J ^a   Geng, S ^b  

^a ZHEJIANG UNIVERSITY   (China)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BACKPROPAGATION ALGORITHMS; IMAGING SYSTEMS; LEARNING ALGORITHMS; NEURAL NETWORKS; OPTICAL CORRELATION; REMOTE SENSING;

BLIGHT; PHYTOPHTHORA INFESTANS; TOMATOES;

CROPS;

ARTIFICIAL NEURAL NETWORK; BACK PROPAGATION; DATA SET; DISCRETE ELEMENT METHOD; DISEASE SPREAD; EFFICIENCY MEASUREMENT; EXPERIMENTAL STUDY; IMAGE ANALYSIS; PREDICTION; SPECTRAL ANALYSIS;

CALIFORNIA; NORTH AMERICA; UNITED STATES;

LYCOPERSICON ESCULENTUM; PHYTOPHTHORA INFESTANS;

EID: 40349090020     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431160701281007     Document Type: Article

References (23)