Issue |
E3S Web Conf.
Volume 480, 2024
II International Scientific and Practical Conference “Energy, Ecology and Technology in Agriculture” (EEA2023)
|
|
---|---|---|
Article Number | 03013 | |
Number of page(s) | 8 | |
Section | Agriculture, Engineering and Technology in the Agro-Industrial Complex | |
DOI | https://doi.org/10.1051/e3sconf/202448003013 | |
Published online | 18 January 2024 |
Development and evaluation of an automated irrigation system for ordinary agriculture farm
1 Eastern University, Sri Lanka, Chenkalady, 30350 Sri Lanka
2 Sri Lanka Institute of Advanced Technological Education, Ampara, 32000, Sri Lanka
3 Tashkent Chemical Technological Institute, Tashkent, 100000, Uzbekistan
4 Karshi Engineering-Economics Institute, Karshi, 180100 Uzbekistan
* Corresponding author: jesfarabm@yahoo.com
Irrigation is a method of applying water to land or soil to assists the growth of crops. Moisture loss is a common problem in the agricultural situation in developing countries. Therefore, a study was conducted to set up a controlling system for irrigation that is based on the moisture content of soil of the crop field to prevent water and electrical waste using a singlephase water pump and to test the performance of the machine at the field level. The irrigation control machine functions with the help of two electrodes used to measure the soil water content were developed successfully using the low-cost electrical and electronic accessories which functions with DC voltage. This study highlights that the automatic machine was successfully performed in the field. When the machine was used in the field, the vegetative parameters such as average plant height and mean leaf area of the maize plants which was grown under the irrigation of an automatic irrigation system were significantly greater than the normally irrigated plants. Further, the maize plants grown under the automatic irrigation system showed early flowering and 34% average individual plant yield improvement compared to the conventional irrigation system.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.