SUGAR-EX: An information and communication technology based decision making tool
| Autor: | N. Mukunthan, T. Rajula Shanthy |
|---|---|
| Rok vydání: | 2009 |
| Předmět: |
Commercial software
Decision support system business.product_category business.industry Computer science Interactive kiosk computer.software_genre Expert system Biotechnology Engineering management Knowledge base Information and Communications Technology Information system Applications of artificial intelligence business Agronomy and Crop Science computer |
| Zdroj: | Sugar Tech. 11:69-72 |
| ISSN: | 0974-0740 0972-1525 |
| DOI: | 10.1007/s12355-009-0012-x |
| Popis: | Knowledge based applications of artificial intelligence have enhanced productivity in varied fields of science and technology. In the recent past, the advances in this field have percolated for use in agriculture as well. Sugarcane, a long duration crop is ravaged by many insect and non-insect pests limiting the cane yield. An expert system on sugarcane pests and their management that can bring broad knowledge base narrowed into a slice of in-depth system was developed. The concept of artificial intelligence has been deployed using simple commercial software packages with easy-to-use interfaces. This expert system takes into consideration sixteen major pests of sugarcane utilizing their symptoms/details of pest stages as identification cues. The primary goal of this expert system is to make expertise on sugarcane pests and their management available to sugarcane development personnel and cane growers in a portable computer based kiosk. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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