- -

Crop planting and harvesting planning: Conceptual framework and sustainable multi-objective optimization for plants with variable molecule concentrations and minimum time between harvests

RiuNet: Repositorio Institucional de la Universidad Politécnica de Valencia

Compartir/Enviar a

Citas

Estadísticas

  • Estadisticas de Uso

Crop planting and harvesting planning: Conceptual framework and sustainable multi-objective optimization for plants with variable molecule concentrations and minimum time between harvests

Mostrar el registro completo del ítem

Esteso, A.; Alemany Díaz, MDM.; Ortiz Bas, Á.; Iannacone, R. (2022). Crop planting and harvesting planning: Conceptual framework and sustainable multi-objective optimization for plants with variable molecule concentrations and minimum time between harvests. Applied Mathematical Modelling. 112:136-155. https://doi.org/10.1016/j.apm.2022.07.023

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/199568

Ficheros en el ítem

Metadatos del ítem

Título: Crop planting and harvesting planning: Conceptual framework and sustainable multi-objective optimization for plants with variable molecule concentrations and minimum time between harvests
Autor: Esteso, Ana Alemany Díaz, María Del Mar Ortiz Bas, Ángel Iannacone, Rina
Entidad UPV: Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros Industriales - Escola Tècnica Superior d'Enginyers Industrials
Fecha difusión:
Resumen:
[EN] The planting and harvesting of medicinal plants have characteristics that differentiate them from other crop types and complicate their planning. For example, drug processors do not require large quantities of product ...[+]
Palabras clave: Planting , Harvesting , Planning , Medicinal plants , Multi-objective optimization
Derechos de uso: Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
Fuente:
Applied Mathematical Modelling. (issn: 0307-904X )
DOI: 10.1016/j.apm.2022.07.023
Editorial:
Elsevier
Versión del editor: https://doi.org/10.1016/j.apm.2022.07.023
Código del Proyecto:
info:eu-repo/grantAgreement/EC/H2020/691249/EU
Agradecimientos:
We acknowledge the support of Project 691249, RUCAPS: "Enhancing and implementing knowledge based ICT solutions within high risk and uncertain conditions for agriculture production systems", funded by the European Union's ...[+]
Tipo: Artículo

recommendations

 

Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro completo del ítem