A comprehensive and systematic study in smart drip and sprinkler irrigation systems

被引:23
作者
Bhavsar, Drashti [1 ]
Limbasia, Bhargav [1 ]
Mori, Yash [1 ]
Aglodiya, Mohmmadali Imtiyazali [1 ]
Shah, Manan [2 ]
机构
[1] Pandit Deendayal Energy Univ, Sch Technol, Dept Comp Engn, Gandhinagar, Gujarat, India
[2] Pandit Deendayal Energy Univ, Dept Chem Engn, Sch Energy Technol, Gandhinagar, Gujarat, India
来源
SMART AGRICULTURAL TECHNOLOGY | 2023年 / 5卷
关键词
Irrigation; Crop yield; IoT; SENSOR; CONTROLLERS;
D O I
10.1016/j.atech.2023.100303
中图分类号
S2 [农业工程];
学科分类号
0828 ;
摘要
Many regions of the world have unpredictable rainfall, making agriculture impossible to sustain without diverse irrigation technologies. Irrigation has a huge impact on crop productivity, but traditional irrigation systems can be replaced with Advanced and Smart irrigation techniques, which can enhance production yield even more. In arid regions where water is scarce, drip irrigation is a good option because water is supplied at a low rate and it also saves a lot of water, whereas, in horticulture, sprinkler systems are widely used because they do not require large pipelines all over large lands and instead spray water droplets all over the area like rain. The purpose of this article is to analyze the various types of smart drip and sprinkler irrigation systems with the help of IoT and also find solution for the various challenges found in the various methods. Various irrigation technologies which include IoT are reviewed, with a focus on smart drip and sprinkler systems. Various comparisons have been conducted between various methods to find the most efficient one in both irrigation techniques. A table summarizing the similarities between the various methods is also presented. Finally, all of this leads to saving water and making farmers' work easier.
引用
收藏
页数:12
相关论文
共 77 条
[1]  
Abdul Razak M.H., Remote Irrigation Monitoring For Smart Greenhouse
[2]   IoT-based monitoring and data-driven modelling of drip irrigation system for mustard leaf cultivation experiment [J].
Abioye, Emmanuel Abiodun ;
Abidin, Mohammad Shukri Zainal ;
Mahmud, Mohd Saiful Azimi ;
Buyamin, Salinda ;
AbdRahman, Muhammad Khairie Idham ;
Otuoze, Abdulrahaman Okino ;
Ramli, Muhammad Shahrul Azwan ;
Ijike, Ona Denis .
INFORMATION PROCESSING IN AGRICULTURE, 2021, 8 (02) :270-283
[3]  
Aggarwal P, 2019, 2019 6TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND INTEGRATED NETWORKS (SPIN), P297, DOI [10.1109/SPIN.2019.8711750, 10.1109/spin.2019.8711750]
[4]  
Akhmad SS, 2018, ELECTR POWER ELECTR, P159, DOI 10.1109/EECCIS.2018.8692950
[5]   Testing Novel New Drip Emitter with Variable Diameters for a Variable Rate Drip Irrigation [J].
AL-agele, Hadi A. ;
Nackley, Lloyd ;
Higgins, Chad .
AGRICULTURE-BASEL, 2021, 11 (02) :1-8
[6]  
Anderson T, Doctoral dissertation
[7]  
Ani Akhil, 2020, Proceedings of Second International Conference on Inventive Research in Computing Applications (ICIRCA 2020), P370, DOI 10.1109/ICIRCA48905.2020.9182908
[8]  
Barbade G.M., 2021, Ind. J. Microprocess. Microcontroll. (IJMM), V1, P12
[9]   Smart sensor for automatic drip irrigation system for paddy cultivation [J].
Barkunan, S. R. ;
Bhanumathi, V. ;
Sethuram, J. .
COMPUTERS & ELECTRICAL ENGINEERING, 2019, 73 :180-193
[10]   Drip Irrigation System using Wireless Sensor Networks [J].
Bennis, I. ;
Fouchal, H. ;
Zytoune, O. ;
Aboutajdine, D. .
PROCEEDINGS OF THE 2015 FEDERATED CONFERENCE ON COMPUTER SCIENCE AND INFORMATION SYSTEMS, 2015, 5 :1297-1302