Automated optimized irrigation systems for small farmers in a subtropical region
Abstract
Several Latin American countries have an economy strongly based on agricultural/livestock sector, where dependence on water plays a predominant role. This dependency is being observed in a cyclical way due to el Niño, la Niña, and climatic changes. Among the producers, those of small and medium-size, based mainly on family farming, are the ones that suffer the most from the consequences of water scarcity. [...]
Downloads
References
L. Beal et al. “GEKKO Optimization Suite”. In: Processes 6.8 (2018), p. 106. doi: 10.3390/ pr6080106.
E. Collado and Y. Saez. “Sistema de Riego Inteligente para optimizar el consumo de agua en cultivos en Panamá”. In: Proceedings of the 15th LACCEI International Multi- Conference for Engineering, Education and Technology. 2017.
N. M. Cid Garcıa. “Planificación de la producción agrıcola y manejo eficiente del agua en un sistema de irrigación”. PhD thesis. Universidad Autónoma de Nuevo León, 2012.
M. I. Irawan et al. “Intelligent IrrigationWater Requirement System Based on Artificial Neural Networks and Profit Optimization for Planning Time Decision Making of Crops in Lombok Island”. In: Journal of Theoretical and Applied Information Technology 58.3 (2013), pp. 657–671.
J. Li et al. “Optimization of irrigation scheduling for spring wheat based on simulationoptimization model under uncertainty”. In: Agricultural Water Management 208 (2018), pp. 245–260. issn: 0378-3774. doi: https://doi.org/10.1016/j.agwat.2018.06.029. url: https://www.sciencedirect.com/science/article/pii/S0378377418308849.
