DocumentCode
1748874
Title
Forecasting the population of the corn earworm Helicoverpa zea
Author
Elgaddel, Nazik ; Lin, Frank C. ; Nobakht, Manocher ; Okunbor, Daniel
Author_Institution
Dept. of Math. & Comput. Sci., Maryland Univ., Princess Anne, MD, USA
Volume
3
fYear
2001
fDate
2001
Firstpage
2316
Abstract
The corn earworm (CEW) is significant pest for major crops such as soybean and corn. An accurate forecast of its population will be of great benefit to farmers, who must allocate a correct percentage of their land to trap crops. We apply statistical and neural network methods to estimate future populations based upon historical data
Keywords
agriculture; autoregressive moving average processes; forecasting theory; neural nets; time series; Helicoverpa zea; corn earworm; neural network methods; pest control; pest population forecasting; statistical methods; time series; trap crops; Africa; Agriculture; Computer science; Crops; Europe; Neural networks; Pest control; Smoothing methods; South America; Temperature;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2001. Proceedings. IJCNN '01. International Joint Conference on
Conference_Location
Washington, DC
ISSN
1098-7576
Print_ISBN
0-7803-7044-9
Type
conf
DOI
10.1109/IJCNN.2001.938530
Filename
938530
Link To Document