Abstract The efficient and sustainable irrigation mechanism results in reduced water loss and improved crop productivity. This paper presents a real-time fuzzy inference based automated irrigation controller implemented in LabVIEW, that utilizes the data logged from the sensor network and communicated using GSM/GPRS module. The proposed drip irrigation scheduler receives the data from soil moisture, humidity, air temperature and water level sensor, in order to decide the percentage valve opening. Recently the open channel system have transformed into pressurized pipe systems which utilizes large amount of energy for uniform distribution of water. In order to optimize the energy consumption utilized in irrigation, availability based tariff (ABT) is implemented. The time interval for which drip irrigation is regulated, is controlled by supply frequency to operate pumps in low tariff period. This technique is applicable for wide range of crops which are grown in Kharif and Rabi season. The field experimentation results shows that the cost of irrigation is reduced by 30% as the water and electricity is efficiently utilized. Water saving is 45% more as compared to flood irrigation mechanism. Cost benefit achieved for Sorghum crop cultivation by proposed fuzzy based irrigation technique is higher by Rs.598/acre than the profit realized by manual flood irrigation.

中文翻译：

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基于模糊推理的农业需求侧管理灌溉控制器

摘要 高效且可持续的灌溉机制可减少水分流失并提高作物生产力。本文提出了一种在 LabVIEW 中实现的基于实时模糊推理的自动灌溉控制器，它利用从传感器网络记录的数据并使用 GSM/GPRS 模块进行通信。建议的滴灌调度器接收来自土壤湿度、湿度、气温和水位传感器的数据，以确定阀门开度的百分比。最近，明渠系统已转变为加压管道系统，该系统利用大量能量来均匀分布水。为了优化灌溉中使用的能源消耗，实施了基于可用性的关税 (ABT)。调节滴灌的时间间隔，由供电频率控制，在低价期运行泵。该技术适用于在 Kharif 和 Rabi 季节种植的多种作物。田间试验结果表明，由于水电得到有效利用，灌溉成本降低了30%。与漫灌机制相比，节水量提高了 45%。通过提出的基于模糊灌溉技术实现的高粱作物种植成本效益比手动漫灌实现的利润高 598 卢比/英亩。与漫灌机制相比，节水量提高了 45%。通过提出的基于模糊灌溉技术实现的高粱作物种植成本效益比手动漫灌实现的利润高 598 卢比/英亩。与漫灌机制相比，节水量提高了 45%。通过提出的基于模糊灌溉技术实现的高粱作物种植成本效益比手动漫灌实现的利润高 598 卢比/英亩。