Details
| Titel in Übersetzung | AEP: An Automatic Decision Support Software for Integrated Plant Protection |
|---|---|
| Originalsprache | Deutsch |
| Fachzeitschrift | Gesunde Pflanzen |
| Jahrgang | 67 |
| Ausgabenummer | 1 |
| Publikationsstatus | Veröffentlicht - März 2015 |
Abstract
A decision support software for greenhouse plant protection has to meet several requirements in order to be accepted and applied by growers. It should comply with the different operational needs of growers and should be helpful for inexperienced growers but also optimize plant protection strategies for experienced ones. Additionally a large number of cultures and pests should be covered and implementation of new crops, beneficials, pests and insecticides must be easy. Also handling should be easy and time saving. All software parameters should be adaptable to grower specific needs. The program should not decide on the control regime but rather give recommendations and provide data storage to optimize plant protection strategies. Thereby learning effects are stimulated and motivation to adapt decision processes in plant protection practice is increased.
In this article we show the structure of a decision support software (AEP—Automatische Entscheidungshilfe für den integrierten Pflanzenschutz unter Glas) and describe its functionality for the model system tomato (Solanum lycopersicum)–whitefly (Trialeurodes vaporariorum)–natural enemy (Encarsia formosa).
Schlagwörter
- Beneficals, Decision support system, Encarsia formosa, Greenhouse, Plant protection, Trialeurodes vaporariorum, Whitefly
ASJC Scopus Sachgebiete
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in: Gesunde Pflanzen, Jahrgang 67, Nr. 1, 03.2015.
Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review
}
TY - JOUR
T1 - AEP – Eine automatische Entscheidungshilfe-Software für den integrierten Pflanzenschutz
AU - Böckmann, Elias
AU - Meyhöfer, Rainer
N1 - Publisher Copyright: © 2014, Springer-Verlag Berlin Heidelberg. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2015/3
Y1 - 2015/3
N2 - A decision support software for greenhouse plant protection has to meet several requirements in order to be accepted and applied by growers. It should comply with the different operational needs of growers and should be helpful for inexperienced growers but also optimize plant protection strategies for experienced ones. Additionally a large number of cultures and pests should be covered and implementation of new crops, beneficials, pests and insecticides must be easy. Also handling should be easy and time saving. All software parameters should be adaptable to grower specific needs. The program should not decide on the control regime but rather give recommendations and provide data storage to optimize plant protection strategies. Thereby learning effects are stimulated and motivation to adapt decision processes in plant protection practice is increased.In this article we show the structure of a decision support software (AEP—Automatische Entscheidungshilfe für den integrierten Pflanzenschutz unter Glas) and describe its functionality for the model system tomato (Solanum lycopersicum)–whitefly (Trialeurodes vaporariorum)–natural enemy (Encarsia formosa).
AB - A decision support software for greenhouse plant protection has to meet several requirements in order to be accepted and applied by growers. It should comply with the different operational needs of growers and should be helpful for inexperienced growers but also optimize plant protection strategies for experienced ones. Additionally a large number of cultures and pests should be covered and implementation of new crops, beneficials, pests and insecticides must be easy. Also handling should be easy and time saving. All software parameters should be adaptable to grower specific needs. The program should not decide on the control regime but rather give recommendations and provide data storage to optimize plant protection strategies. Thereby learning effects are stimulated and motivation to adapt decision processes in plant protection practice is increased.In this article we show the structure of a decision support software (AEP—Automatische Entscheidungshilfe für den integrierten Pflanzenschutz unter Glas) and describe its functionality for the model system tomato (Solanum lycopersicum)–whitefly (Trialeurodes vaporariorum)–natural enemy (Encarsia formosa).
KW - Beneficals
KW - Decision support system
KW - Encarsia formosa
KW - Greenhouse
KW - Plant protection
KW - Trialeurodes vaporariorum
KW - Whitefly
UR - http://www.scopus.com/inward/record.url?scp=84914133338&partnerID=8YFLogxK
U2 - 10.1007/s10343-014-0332-y
DO - 10.1007/s10343-014-0332-y
M3 - Artikel
AN - SCOPUS:84914133338
VL - 67
JO - Gesunde Pflanzen
JF - Gesunde Pflanzen
SN - 0367-4223
IS - 1
ER -