Studies on smart irrigation system using IoT approaches
Smart irrigation system
DOI:
https://doi.org/10.21921/jas.v10i04.14381Keywords:
Drip irrigation, Soil Moisture Sensor, Automatic Irrigation System, Water MotorAbstract
Drip irrigation is widely acknowledged for its cost-effectiveness and efficiency in contrast to traditional methods that rely heavily on human oversight. This research paper underscores the potential to enhance water utilization efficiency while maintaining optimal yields through the implementation of sound water management strategies and the integration of cutting-edge technologies. The study introduces an automated irrigation control system designed to autonomously supply adequate water to crops across all agricultural seasons. This system is intended to create an automated irrigation mechanism which turns the pumping motor ON and OFF on detecting the moisture content of the earth. Utilizing inexpensive sensors and straightforward circuitry renders this project a cost-effective solution, making it accessible even to economically disadvantaged farmers. The designed system was tested on tomato crop. Plant height of tomato crop controlled by an automatic drip irrigation circuit for automatic watering was slightly higher than those manually irrigated. The use of automatic irrigation technology improved crop yields and quality in tomato crop due to timely supply of water. Tailored for regions facing water scarcity and necessitating judicious water use, this research offers significant advantages.
References
Al Nahian M S, Biswas A P, Tsou J C and Rahman M H. 2021. IoT based soil monitoring and automatic irrigation system. Int. J. Comput. Sci. Res. 1-47.
Andric I, Kamal A and Al-Ghamdi S G. 2020. Efficiency of green roofs and green walls as climate change mitigation measures in extremely hot and dry climate: Case study of Qatar. Energy Rep. 6:2476-2489.
Barkunan S R, Bhanumathi V, Sethuram J. 2019. Smart sensor for automatic drip irrigation system for paddy cultivation.
Comput. Electr. Eng. 1(73):180-93.
Elbasiouny H, Elbanna B A, Al-Najoli E, Alsherief A, Negm S, Abou El-Nour E, Nofal Aand Sharabash S. 2020. Agricultural
waste management for climate change mitigation: some implications to Egypt, pp149-69. Waste management in
MENAregions: Springer Link Publication.
Elijah O, Rahman T A, Orikumhi I, Leow C Y and Hindia M N. 2018. An overview of Internet of Things (IoT) and data
analytics in agriculture: Benefits and challenges. IEEE Internet Things J. 5(5):3758-73.
Fan Y, Wang C and Nan Z. 2018. Determining water use efficiency of wheat and cotton: a meta-regression analysis. Agric. Water Manag. 199:48-60.
Gloria A, Dionisio C, Simões G, Cardoso J and Sebastião P. 2020. Water management for sustainable irrigation systems using internet-of-things. J. Sens. 20(5):1402.
Hatfield J L and Dold C. 2019. Water-Use Efficiency: Advances and challenges in a changing climate. Front. Plant Sci. 10:103.
Jha K, Doshi A, Patel Pand Shah M. 2019. Acomprehensive review on automation in agriculture using artificial intelligence.
Artif. Intell. Agric. 1(2):1-2.
Khan N, Ray R L, Sargani G R, Ihtisham M, Khayyam M and Ismail S. 2021. Current progress and future prospects of
agriculture technology: Gateway to sustainable agriculture. Sustainability. 13(9):4883.
Liang Z, Liu X, Xiong J and Xiao J. 2020. Water allocation and integrative management of precision irrigation: Asystematic
review. Water. 12(11):3135.
Sayed E T, Abdelkareem M A, Obaideen K, Elsaid K, Wilberforce T, Maghrabie H M and Olabi A G. 2021. Progress in plant based bioelectrochemical systems and their connection with sustainable development goals. Carbon Resour. Convers. 4:169-83.
Sharma A, Georgi M, Tregubenko M, Tselykh A and Tselykh A. 2022. Enabling smart agriculture by implementing artificial
intelligence and embedded sensing. Comput. Ind. Eng. 165:107936.
Tantalaki N, Souravlas S and Roumeliotis M. 2019. Data-driven decision making in precision agriculture: The rise of big data
in agricultural systems. J. Agric. Food Inf. 20(4):344-80.
Upadhyaya A, Jeet P, Sundaram PK, Singh AK, Saurabh K and Deo M. 2022. Efficacy of drone technology in agriculture: A
review. Journal of AgriSearch 9(3):189-195.
Weersink A, Fraser E, Pannell D, Duncan E and Rotz S. 2018. Opportunities and challenges for big data in agricultural and
environmental analysis. Annu. Rev. Resour. Economics. 10:19-37.
