Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
Neural Networks for Pattern Recognition
Neural Networks for Pattern Recognition
Time Series Analysis: Forecasting and Control
Time Series Analysis: Forecasting and Control
| Hi-index | 0.00 |
In this paper we consider the successful hybridation of a two modern computational schemes, Clustering and Neural Networks, for the Predictive Classification of the future value of insect infestation levels for Integrated Pest Management (IPM) of olive groves. The predictive classification techniques employed allow managers to improve their work in two ways: first, by reducing sampling demands of the variables involved, which is a costly process; and second, by recognizing potential infestation problems a up to two weeks beforehand, in order to optimize the use of pesticide chemical products and thus reduce financial costs.