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Field Test of a Satellite-Based Model for Irrigation Scheduling in Cotton
S. May-tal, O. Beeri, J. Raz, R. Rud
Manna Irrigation, Gvat, Israel

Cotton irrigation in Israel began in the mid-1950s. It is based on an irrigation protocol developed over dozens of years of cotton farming in Israel, and proved to provide among the world's best cotton yield results. In this experiment, we examined the use of an irrigation recommendation system that is based on satellite imagery and hyper-local meteorological data, "Manna treatment", compared to the common irrigation protocols in Israel, which use a crop coefficient (Kc) table and continuous manual monitoring of the plant phenology. The experiment was conducted in a commercial Pima cotton field, under heavy soil conditions, and irrigation by recycled water. The yield results presented an advantage for the "Manna treatment", though non-significant. It should be noted that both treatments produced higher yields compered to the region average and to global standards. The total water consumption of the season was almost the same for both treatments, but there was a difference in the irrigation regime, which is, timing and quantities of water given during the irrigation season: “Manna treatment” prescribed more water at the development stage, while in the grower treatment more water was supplied in the mid and late growth stages. As a result, the height of plants in the “Manna treatment” was significantly greater. Yield (gross and net, weight and quality parameters) was measured in both, sampling and mechanical harvesting. The Manna treatment presented a higher yield potential, though this increased yield on larger plants could not be harvested effectively due to mechanical limitations of the harvesters. Therefore, one of the conclusions was to consider regulating the plants’ height during the development stage using commonly used chemicals. In conclusion, the irrigation recommendations based on satellite imagery have proven to be superior to the irrigation protocol and to the regional average considering yield indices, cotton quality and water use efficiency. 

Keyword: Water Use Efficiency, Cotton, Irrigation Intelligence
S. May-tal    O. Beeri    J. Raz    R. Rud    Decision Support Systems    Poster    2018