Evaluating the Use of Intelligent Irrigation Systems Based on the IoT in Grain Corn Irrigation

This study was conducted to evaluate the management of smart irrigation in grain maize production (KSC 715 cultivar) at Seed and Plant Improvement Institute (SPII) located Karaj, Iran, year 2020. Irrigation performed based on 40% moisture discharge farm capacity compared with long-term meteorological statistics that have become common field (drip system, type strip, determining time apparent reaction plant). The experimental results showed under conditions management, sensitive phenological stages plant occur earlier, is ready be harvested approximately one month earlier; moreover, 35% water consumption can saved. Water decreased from 8839.5 5675.67 m3/ha; addition, yield productivity decreased. Although stress applied intelligent system completed phenology period faster due earlier harvest, by 35%, reduced. Finally, it seems adjusting drought application more tolerant growth future studies experiments, will possible decrease while increasing physical water.