Efficient Solar-Powered IoT Drip Irrigation for Tomato Yield and Quality: An Evaluation of the Effects of Irrigation and Fertilizer Frequency

Author:

Kaunkid SanyaORCID,Aurasopon ApinanORCID

Abstract

The optimal management of irrigation and fertilization is crucial for maximizing the yield and quality of tomatoes grown in greenhouses. To address this challenge, this study aimed to develop and implement a solar-powered Internet of Things (IoT) based drip irrigation system for tomato cultivation in plastic roof net houses. Additionally, the study evaluated the effects of water and fertilizer frequency on tomato yield and quality. The experiment was designed with 2 irrigation frequencies (1 time in a day and 1 time in 2 days) and 3 fertilizer frequencies (1 time in 2, 4, and 6 days), with 4 replicates of the tomato variety CH154. The results showed that the solar-powered IoT-based drip irrigation system was efficient, precise in water and fertilizer control, and inexpensive to install and maintain. This allows for real-time monitoring of water flow rate, flow sensor status, treatment status, and electrical parameters on the Node-Red dashboard. Irrigation frequency had a significant impact (p < 0.05) on fruit number, weight, and length per plant, with 1-day irrigation resulting in a higher yield than 2-day irrigation. No significant interaction effect was found between irrigation and fertilizer frequency on tomato yield or quality. In conclusion, the solar-powered IoT-based drip irrigation system demonstrated precise control over water and fertilizer, proving its efficiency and cost-effectiveness. Real-time monitoring capabilities and the observed impact of irrigation frequency underscore its potential for enhancing tomato cultivation in greenhouses, offering a valuable contribution to sustainable and technology-driven agricultural practices.

Publisher

Journal of Experimental Biology and Agricultural Sciences

Subject

General Agricultural and Biological Sciences,General Veterinary,General Biochemistry, Genetics and Molecular Biology

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