Automated Irrigation Management Platform using a Wireless Sensor Network

Agricultural sector is one of the trademarks of Algeria’s economy. Agriculture plays a vital role in the development of the country. But in today’s world, agricultural areas are getting reduced due to laziness of mankind in irrigation. But due to population growth and overexploitation, the demand for water is exceeding supply. An algorithm was developed with threshold values of temperature and soil moisture (Rawls and Turq formulas) that was programmed into a microcontroller-based gateway to control water quantity. In this paper, we implement a platform for precision agriculture which allows to collect fundamental physical phenomena (the moisture of the soil, air temperature, humidity, water level, water flow, luminous intensity) required for the precision agriculture, which will be treated to calculate the need for water needed for optimal irrigation. Our platform consists of a sensor/actuator node, a desktop application and a gateway switches relay which controls water pump according to the requirement. Our system is a good starting point for a smart irrigator. Arduino (open source) is used in the design of the prototype model in making the system compact and sustainable.

[1]  Pushkar Singh,et al.  Arduino-based smart irrigation using water flow sensor, soil moisture sensor, temperature sensor and ESP8266 WiFi module , 2016, 2016 IEEE Region 10 Humanitarian Technology Conference (R10-HTC).

[2]  Jaime Lloret,et al.  Design of a WSN for smart irrigation in citrus plots with fault-tolerance and energy-saving algorithms , 2018, Netw. Protoc. Algorithms.

[3]  C. Rama Krishna,et al.  An IoT based smart irrigation management system using Machine learning and open source technologies , 2018, Computers and Electronics in Agriculture.

[4]  Amine Dahane,et al.  A Virtual Laboratory to Practice Mobile Wireless Sensor Networks: A Case Study on Energy Efficient and Safe Weighted Clustering Algorithm , 2015, J. Inf. Process. Syst..

[5]  Nasr-Eddine Berrached,et al.  Mobile, Wireless and Sensor Networks: A Clustering Algorithm for Energy Efficiency and Safety , 2019 .

[6]  Mehmet C. Vuran,et al.  Internet of underground things in precision agriculture: Architecture and technology aspects , 2018, Ad Hoc Networks.

[7]  Marwa Mekki,et al.  Greenhouse monitoring and control system based on wireless Sensor Network , 2015, 2015 International Conference on Computing, Control, Networking, Electronics and Embedded Systems Engineering (ICCNEEE).

[8]  Soyoung Hwang Monitoring and Controlling System for an IoT Based Smart Home , 2017 .

[9]  Marc W. van Iersel,et al.  An automated system for controlling drought stress and irrigation in potted plants , 2006 .

[10]  Sachin Deshpande,et al.  Smart farming using Arduino and data mining , 2016, 2016 3rd International Conference on Computing for Sustainable Global Development (INDIACom).

[11]  Angelo Basile,et al.  LCIS DSS—An irrigation supporting system for water use efficiency improvement in precision agriculture: A maize case study , 2019, Agricultural Systems.

[12]  M. P. Jyothi,et al.  IOT Based Monitoring System in Smart Agriculture , 2017, 2017 International Conference on Recent Advances in Electronics and Communication Technology (ICRAECT).

[13]  Qingwen Qi,et al.  Design and realization of precision agriculture information system based on 5S , 2011, 2011 19th International Conference on Geoinformatics.

[14]  L. Khot,et al.  Assessing suitability of modified center pivot irrigation systems in corn production using low altitude aerial imaging techniques , 2020, Information Processing in Agriculture.

[15]  Weiping Yang,et al.  Original paper: Efficient registration of optical and IR images for automatic plant water stress assessment , 2010 .