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Decision Making in Vegetables Production: Araucania’s Plan Predial (Chile) as a Model
Indexado
Scopus SCOPUS_ID:86000079410
DOI 10.1007/978-3-031-70745-2_1
Año 2025
Tipo

Citas Totales

Autores Afiliación Chile

Instituciones Chile

% Participación
Internacional

Autores
Afiliación Extranjera

Instituciones
Extranjeras


Abstract



Plan Predial (planpredial.inia.cl) is an interactive platform for La Araucanía region, Chile, which allows the user to efficiently plan the use of available property resources by generating technical–economic information that facilitates decision-making in a productive system. The need for its construction arises from permanent consultations from producers and technicians in the horticultural sector. It is free to access, which seeks to answer what, how much, when and how to produce, in different agricultural areas. For the development, technical information from primary and secondary sources in thirty-two species were considered. Models according to agro-ecological zone, crop rotation, history of production, harvest timing, sales format, crop yield, water demand, price series, resources, reinvestment, and start of work. Field validations were carried out for varieties, growing time and labour costs. A total of hundred fifty-six agronomic management alternatives were generated, combining the previous variables. The platform was built, to which extension agents and farmers can freely access as users to plan their production systems. This platform optimizes in real time, and delivers suggestions for crop management options, which contain the activities to be carried out in each stage of crop production, the minimum area to be cultivated, the Gantt chart with dates and duration of each activity, direct and indirect costs, and gross margin. With all this information, the minimum productive economic unit (UEMP) is obtained, expressed as an area from which profits are generated. It can be accessed from a computer or mobile device, through a browser. For its development, the CentOS 7 Operating System, JAVA 1.7, Tomcat 7 servlet container, PostgreSQL Database 9.6 and Matlab R2015a (Matlab Compiler Runtime) were used. Optimization was implemented in MATLAB, specifically, using the MILP intlinpro mixed-integer programming function, which searches for the minimum of a specific problem subject to certain restrictions.

Métricas Externas



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Disciplinas de Investigación



WOS
Sin Disciplinas
Scopus
Social Sciences (Miscellaneous)
Control And Systems Engineering
Economics, Econometrics And Finance (Miscellaneous)
Control And Optimization
Computer Science (Miscellaneous)
Automotive Engineering
Decision Sciences (Miscellaneous)
SciELO
Sin Disciplinas

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Publicaciones WoS (Ediciones: ISSHP, ISTP, AHCI, SSCI, SCI), Scopus, SciELO Chile.

Colaboración Institucional



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Autores - Afiliación



Ord. Autor Género Institución - País
1 Kehr, Elizabeth - Instituto de Investigaciones Agropecuarias - Chile
2 Bastias, Maritza - Instituto de Investigaciones Agropecuarias - Chile
3 Saavedra, Gabriel - Instituto de Investigaciones Agropecuarias - Chile
4 Hernández, Jorge - University of Liverpool Management School - Reino Unido
Universidad Adolfo Ibáñez - Chile
5 ELGUETA-PALMA, SEBASTIAN ANDRES Hombre Universidad de Las Américas Chile - Chile
6 Morales, Francisco -

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Financiamiento



Fuente
Fondo Nacional de Desarrollo Científico y Tecnológico
European Commission
Agencia Nacional de Investigación y Desarrollo
National Research and Development Agency

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Agradecimientos



Agradecimiento
Authors of this publication acknowledge the contribution of the Project 691249, RUC-APS: Enhancing and implementing Knowledge based ICT solutions within high Risk and Uncertain Conditions for Agriculture Production Systems (www.ruc-aps.eu), funded by the European Union under their funding scheme H2020-MSCA-RISE-2015. And FONDECYT project 1230872 funded by National Research and Development Agency (ANID) from Chile.

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