Decision making models embedded into a web-based tool for assessing pest infestation risk
Current practices in agricultural management involve the application of rules and techniques to ensure high quality and environmentally friendly production. Based on their experience, agricultural technicians and farmers make critical decisions affecting crop growth while considering several interwo...
Main Authors: | , , |
---|---|
Format: | info:eu-repo/semantics/article |
Language: | English |
Published: |
Elsevier
2016
|
Online Access: | http://dx.doi.org/10.1016/j.biosystemseng.2015.03.006 http://hdl.handle.net/10835/4466 |
_version_ | 1789406282035232768 |
---|---|
author | Del Águila Cano, Isabel María Cañadas Martínez, José Joaquín Túnez, Samuel |
author_facet | Del Águila Cano, Isabel María Cañadas Martínez, José Joaquín Túnez, Samuel |
author_sort | Del Águila Cano, Isabel María |
collection | DSpace |
description | Current practices in agricultural management involve the application of rules and techniques to ensure high quality and environmentally friendly production. Based on their experience, agricultural technicians and farmers make critical decisions affecting crop growth while considering several interwoven agricultural, technological, environmental, legal and economic factors. In this context, decision support systems and the knowledge models that support them, enable the incorporation of valuable experience into software systems providing support to agricultural technicians to make rapid and effective decisions for efficient crop growth. Pest control is an important issue in agricultural management due to crop yield reductions caused by pests and it involves expert knowledge. This paper presents a formalisation of the pest control problem and the workflow followed by agricultural technicians and farmers in integrated pest management, the crop production strategy that combines different practices for growing healthy crops whilst minimising pesticide use. A generic decision schema for estimating infestation risk of a given pest on a given crop is defined and it acts as a metamodel for the maintenance and extension of the knowledge embedded in a pest management decision support system which is also presented. This software tool has been implemented by integrating a rule-based tool into web-based architecture. Evaluation from validity and usability perspectives concluded that both agricultural technicians and farmers considered it a useful tool in pest control, particularly for training new technicians and inexperienced farmers. |
format | info:eu-repo/semantics/article |
id | oai:repositorio.ual.es:10835-4466 |
institution | Universidad de Cuenca |
language | English |
publishDate | 2016 |
publisher | Elsevier |
record_format | dspace |
spelling | oai:repositorio.ual.es:10835-44662023-04-12T19:24:46Z Decision making models embedded into a web-based tool for assessing pest infestation risk Del Águila Cano, Isabel María Cañadas Martínez, José Joaquín Túnez, Samuel Current practices in agricultural management involve the application of rules and techniques to ensure high quality and environmentally friendly production. Based on their experience, agricultural technicians and farmers make critical decisions affecting crop growth while considering several interwoven agricultural, technological, environmental, legal and economic factors. In this context, decision support systems and the knowledge models that support them, enable the incorporation of valuable experience into software systems providing support to agricultural technicians to make rapid and effective decisions for efficient crop growth. Pest control is an important issue in agricultural management due to crop yield reductions caused by pests and it involves expert knowledge. This paper presents a formalisation of the pest control problem and the workflow followed by agricultural technicians and farmers in integrated pest management, the crop production strategy that combines different practices for growing healthy crops whilst minimising pesticide use. A generic decision schema for estimating infestation risk of a given pest on a given crop is defined and it acts as a metamodel for the maintenance and extension of the knowledge embedded in a pest management decision support system which is also presented. This software tool has been implemented by integrating a rule-based tool into web-based architecture. Evaluation from validity and usability perspectives concluded that both agricultural technicians and farmers considered it a useful tool in pest control, particularly for training new technicians and inexperienced farmers. 2016-11-02T07:41:17Z 2016-11-02T07:41:17Z 2015-05 info:eu-repo/semantics/article http://dx.doi.org/10.1016/j.biosystemseng.2015.03.006 1537-5110 http://hdl.handle.net/10835/4466 en http://www.sciencedirect.com/science/article/pii/S1537511015000483 info:eu-repo/semantics/openAccess Elsevier |
spellingShingle | Del Águila Cano, Isabel María Cañadas Martínez, José Joaquín Túnez, Samuel Decision making models embedded into a web-based tool for assessing pest infestation risk |
title | Decision making models embedded into a web-based tool for assessing pest infestation risk |
title_full | Decision making models embedded into a web-based tool for assessing pest infestation risk |
title_fullStr | Decision making models embedded into a web-based tool for assessing pest infestation risk |
title_full_unstemmed | Decision making models embedded into a web-based tool for assessing pest infestation risk |
title_short | Decision making models embedded into a web-based tool for assessing pest infestation risk |
title_sort | decision making models embedded into a web-based tool for assessing pest infestation risk |
url | http://dx.doi.org/10.1016/j.biosystemseng.2015.03.006 http://hdl.handle.net/10835/4466 |
work_keys_str_mv | AT delaguilacanoisabelmaria decisionmakingmodelsembeddedintoawebbasedtoolforassessingpestinfestationrisk AT canadasmartinezjosejoaquin decisionmakingmodelsembeddedintoawebbasedtoolforassessingpestinfestationrisk AT tunezsamuel decisionmakingmodelsembeddedintoawebbasedtoolforassessingpestinfestationrisk |