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Chapitre D'ouvrage Année : 2017

Predictive Irrigation Scheduling Modeling in Nurseries

Résumé

Water requirement allocation plays an important role in modern farming management. Evapotranspiration-based irrigation controllers can ideally provide irrigation according to the water requirements of the plant. This chapter describes predictive irrigation scheduling in nurseries with multiple crop species and high-frequency water requirements under limited resources. Based on historical data, time-series analysis is used to forecast evapotranspiration, an essential element in water balance equation. An algorithm based on a hierarchical research including dispatching priority rules and taking into account crop characteristics, available water, and constraints of the hydraulic network is proposed to predict irrigation schedules, with the objective of minimizing crop’s water stress periods and optimizing resource materials. Simulation results with different climatic conditions show on the one hand the ability of the time-series model to forecast potential evapotranspiration, and on the other hand that, given a typical nursery, the proposed predictive approach of irrigation scheduling compared to the non-predictive approach makes it possible to prevent crop’s water stress
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Dates et versions

hal-01524684 , version 1 (03-03-2020)

Identifiants

Citer

Rousseau Tawegoum, Florian Leroy, Gérard Sintes, Gérard Chassériaux. Predictive Irrigation Scheduling Modeling in Nurseries. Surendra N. Kulshreshtha; Amin Elshorbagy. Current Perspective on Irrigation and Drainage, InTech, pp.23-36, 2017, 978-953-51-2951-6. ⟨10.5772/67341⟩. ⟨hal-01524684⟩
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