Abstract
The process for agriculture planning starts by delineating the field into site-specific rectangular management zones to face within-field variability. We propose a bi-objective model that minimizes the number of these zones and maximizes their homogeneity with respect to a soil property. Then we use a method to assign the crops to the different plots to obtain the best profit at the end of the production cycle subject to water forecasts for the period, humidity sensors, and the chemical and physical properties of the zones within the plot. With this crop planning model we can identify the best management zones of the previous bi-objective model. Finally, we show a real-time irrigation method to decide the amount of water for each plot, at each irrigation turn, in order to maximize the total final yield. This is a critical decision in countries where water shortages are frequent. In this study we integrate these stages in a hierarchical process for the agriculture planning and empirically prove its efficiency.
An erratum to this chapter is available at http://dx.doi.org/10.1007/978-1-4939-2483-7_6
An erratum to this chapter can be found at http://dx.doi.org/10.1007/978-1-4939-2483-7_20
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Notes
- 1.
The Mexican national water commission.
- 2.
Mexican ministry of agriculture, livestock, rural development, fisheries, and food.
- 3.
The Mexican national institute for forestry, agriculture, and livestock. There is a research center INIFAP at every state, and therefore producers can get specific information depending on the geographic location of their fields.
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Acknowledgements
This study was partially supported by CONACYT (Grant 101857), by DGIP (Grant USM 28.13.69), CATA and CIDIEN of the Universidad Técnica Federico Santa María. Nestor M. Cid-Garcia wishes to acknowledge graduate scholarship from CONACYT. We are grateful to INIFAP for much of the data that we used in this study.
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Albornoz, V.M., Cid-García, N.M., Ortega, R., Ríos-Solís, Y.A. (2015). A Hierarchical Planning Scheme Based on Precision Agriculture. In: Plà-Aragonés, L. (eds) Handbook of Operations Research in Agriculture and the Agri-Food Industry. International Series in Operations Research & Management Science, vol 224. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-2483-7_6
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