A Decision Support System for Determining Sugarcane Pest Reservoir
Anticipating the establishment of pest reservoirs, and therefore pest infestation in sugarcane agrosystems, is a challenge for the implementation of integrated pest management (IPM) programs. The objective of this work was to develop a decision support system that suggests host plant species and pes...
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Published in | Sugar tech : an international journal of sugar crops & related industries Vol. 22; no. 4; pp. 655 - 661 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
New Delhi
Springer India
01.08.2020
Springer Springer Nature B.V |
Subjects | |
Online Access | Get full text |
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Summary: | Anticipating the establishment of pest reservoirs, and therefore pest infestation in sugarcane agrosystems, is a challenge for the implementation of integrated pest management (IPM) programs. The objective of this work was to develop a decision support system that suggests host plant species and pest natural enemies located in a production area. A knowledge base system (KBBI) was developed and coupled to DECIPESTS, a decision support system for PEST management in sugarcane. According to an observed damage, KBBI suggests the wild and cultivated plants that host the potential pests previously identified by DECIPESTS. The comparison with a local floristic inventory enables to determine pest reservoirs. Applied to a case study in Senegal, the system showed, for instance, that
Eldana saccharina
can be hosted by nine wild plant species located in the irrigation canals and two neighboring cultivated crops of socioeconomic importance in the area. This latter result indicates that the management of
Eldana saccharina
has to be tackled jointly by local farmers to be successful. While DECIPESTS uses a tactical approach to identify possible causes of pest infestation, its combination with KBBI makes it a strategic tool to enhance IPM strategy at a local scale. |
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ISSN: | 0972-1525 0974-0740 |
DOI: | 10.1007/s12355-020-00826-x |