Automatic drip irrigation system using fuzzy logic and mobile technology

Anand, Koushik; Jayakumar, C.; Muthu, Mohana; Amirneni, Sridhar

doi:10.1109/tiar.2015.7358531

Cited by 39 publications

(18 citation statements)

References 3 publications

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“…In addition to that for saving water in the irrigation system based on the climatological parameters, needed water can be given for the plants, based on its growth stages are in. These results agreement to with Mohamed et al (2013) and Anand and Perinbam (2014). Meanwhile, applied irrigation water by IIT under SSDI was reduced by about 8 and 6% for cucumber and pepper compared to that under SDI (Hassanli et al, 2009).…”

Section: Fig 2 Effect Of Iit Technique Under Sdi and Ssdi On Amountsupporting

confidence: 92%

“…The moisture of soil is affected by temperature of environment, evaporation due to wind velocity and the water budget. Accordingly we need to monitor the parameters like atmospheric temperature, humidity, wind speed and direction, water radiation, soil temperature, sunshine and rain fall, etc., Based on these parameters, needed water should to given for the plants, based on its growth stages (Anand and Perinbam, 2014). There were many intelligent irrigation techniques (IIT) available and were used to compute crop water requirements based on climatic data.…”

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confidence: 99%

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Effect of Intelligent Irrigation Technique on Water Use Efficiency for Cucumber and Pepper Crops in New Salhia Area

ali¹

2017

Egypt.J. Soil Sci.

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HE INTELLIGENT irrigation technique is a valuable tool for scheduling irrigation and quantifying water required by plants to achieve water savings. Field experiments were carried out in New Salhia area, El-Sharqia Governorate, Egypt, at (30° 18` N: 31° 23` E. 27 m a.s.l) during the summer season of 2015.The main objectives were to investigate the effectiveness of the intelligent irrigation technique (IIT) (Hunter Pro-C (H)) which was irrigated automatically on water use efficiency (WUE) and irrigation water use efficiency (IWUE) for irrigation scheduling of cucumber (Cucumis sativus Hayle) and pepper (Capsicum annuum) crops. The intelligent irrigation technique, (IIT) was implemented and tested under surface, (SDI) and sub-surface drip irrigation systems, (SSDI). The results obtained with these systems were consequently compared to that of the irrigation control technique (ICT), which was irrigated manually based on crop evapotranspiration (ETc) values. The results revealed that cucumber and pepper growth parameters except pH of juice were significantly increased by IIT under SSDI. In addition; IIT under SSDI conserved 34 and 24% of total applied irrigation water for cucumber and pepper respectively. Moreover, the results showed that the IIT under SSDI recorded significant increase 12 and 13% for marketable yield Ym of cucumber and pepper respectively. While, the results reported that the WUE values using IIT under SSDI were significantly increased by about 30 to 33% for cucumber and pepper respectively. The results confirmed also that the values of IWUE at IIT under SSDI were significantly increased by about 49 to 39 % for cucumber and pepper respectively. The intelligent irrigation technique may provide a valuable tool for scheduling irrigation in cucumber and pepper farming and may be extendable for use in other similar agricultural crops. These results show that this IIT could be a flexible, practical tool for improving scheduled irrigation. Hence, this technique can therefore be recommended for efficient automated irrigation systems that produces higher yield and conserves large amounts of irrigation water.Keywards: Intelligent irrigation, Water use efficiency, Cucumber, Pepper, Drip irrigation Water scarcity and drought are the major factors constraining agricultural crop production in arid and semi-arid zones of the world; therefore innovations for saving water in irrigated agriculture and thereby improving water use efficiency are of paramount importance in water-scarce regions. In Egypt farmers have been using T

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Section: Fig 2 Effect Of Iit Technique Under Sdi and Ssdi On Amountsupporting

confidence: 92%

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confidence: 99%

Effect of Intelligent Irrigation Technique on Water Use Efficiency for Cucumber and Pepper Crops in New Salhia Area

ali¹

2017

Egypt.J. Soil Sci.

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“…Since there is dependably a need to discover increasingly proficient approaches to utilize water for irrigation, producers need to discover progressively compelling and effective utilization of water resources while keeping up high crop yields. The drip irrigation system also known as micro irrigation is an example of an irrigation technique that optimizes the utilization of water resources for improving crop yield and which likewise supplies water either directly to the root zone or soil surface through pressurized pipes, valves and drippers to make water drip gradually [5]. Drip irrigation system spares about 40-80% of water contrasted with traditional flood irrigation system technique which discharges water until the whole field is covered.…”

Section: Introductionmentioning

confidence: 99%

Design of a Green Automated Wireless System for Optimal Irrigation

Okine¹,

Appiah²,

Ahmad³

et al. 2020

IJCNIS

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Towards sustainableagriculture, the management of scarce water resources has become more crucial. In this article, we proffer a green automated wireless system (GAWS) aimed at maximizing and efficiently utilizing water resources for irrigation. The proposed irrigation system is a green technology which will be powered exclusively by solar energy. In its operation, it uses solar-powered wireless sensors for obtaining and transmitting information about soil moisture content of different segments on a given farm. The GAWS will ensure that irrigation is done only when necessary via a solar-powered irrigation control centre. For optimal irrigation, the automated intelligent control centre is designed to trigger solar-powered groundwater pumps wirelessly to execute necessary irrigation for a particular portion of the farm and fall back on an external irrigation system if that proves insufficient. It is envisaged that the proposed irrigation system will improve total crop yields by maximizing the utility of scarce water resources from both internal and external irrigation sources. It will also minimize the cost of time and labour involved in irrigation management, harness renewable energy and be environmentally friendly.

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“…Besides, to control and monitor of agriculture field that can be obtained through mobile interfaces [20]- [22]. Furthermore, MATLAB Software is applied to analyze system performances [23]- [25].…”

Section: Introductionmentioning

confidence: 99%

Irrigation Distribution System for Agriculture using Fuzzy Control and Android-Based Water Monitoring

Akbar¹,

Sunardi²,

Harianto³

et al. 2019

Proceedings of the 2019 Ahmad Dahlan International Conference Series on Engineering and Science (ADICS-ES 2019)

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Water is a critical element in agriculture fields. One of them, paddies. In this research developed the smart irrigation system to real-time monitoring that provided the water level information based on Android. The prototype system made using the ultrasonic sensor (HC-SR04) to detect the water level, and the NodeMCU-ESP8266 conducted control system and wireless communication. The fuzzy algorithm provided the Sugeno model in the order. The research achieved RMSE of 0.41, the water monitoring displayed on Android, and reduced time consuming to open gate system

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Automatic drip irrigation system using fuzzy logic and mobile technology

Cited by 39 publications

References 3 publications

Effect of Intelligent Irrigation Technique on Water Use Efficiency for Cucumber and Pepper Crops in New Salhia Area

Effect of Intelligent Irrigation Technique on Water Use Efficiency for Cucumber and Pepper Crops in New Salhia Area

Design of a Green Automated Wireless System for Optimal Irrigation

Irrigation Distribution System for Agriculture using Fuzzy Control and Android-Based Water Monitoring

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