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Abstract

Stochastic difference equations are suggested for describing the dynamic relationships between plant pest population in olive groves and abiotic factors. A maximum likehood method have been used for state and parameters estimation and some applications have been performed with field data. Regularizing techniques have been used for the study of time series residues of plant pest data. The results obtained constitute a starting point for further research in order to forecast pest damage.

Additional information

Authors: CANTARELLI M T, DEPARTMENT OF MATHEMATICS, UNIVERSITY OF PARMA (ITALY);JRC ISPRA ESTAB. (ITALY);DI COLA G, DEPARTMENT OF MATHEMATICS, UNIVERSITY OF PARMA (ITALY);JRC ISPRA ESTAB. (ITALY);CAVALLORO R DEPARTMENT OF MATHEMATICS, UNIVERSITY OF PARMA (ITALY), DEPARTMENT OF MATHEMATICS, UNIVERSITY OF PARMA (ITALY);JRC ISPRA ESTAB. (ITALY);JRC ISPRA ESTAB. (ITALY), DEPARTMENT OF MATHEMATICS, UNIVERSITY OF PARMA (ITALY);JRC ISPRA ESTAB. (ITALY)
Bibliographic Reference: INTERNATIONAL JOINT MEETING ON INTEGRATED PEST CONTROL IN OLIVE GROVES, PISA (ITALY), APRIL 3-6, 1984 WRITE TO CEC LUXEMBOURG, DG XIII/A2, POB 1907 MENTIONING PAPER E 31693 ORA
Availability: Can be ordered online
Record Number: 1989123000200 / Last updated on: 1987-01-01
Category: PUBLICATION
Available languages: en