Sensor‐Guided Smart Irrigation for Tomato Production: Comparing Low and Optimum Soil Moisture in Greenhouse Environments

Food and Energy Security, Journal Year: 2025, Volume and Issue: 14(2)

Published: March 1, 2025

ABSTRACT Effective irrigation management is crucial for optimizing crop production, particularly in water‐scarce regions. This study evaluated the performance of an Arduino‐based system designed to monitor and control soil moisture a greenhouse setting, focusing on its impact tomato plant growth, fruit yield, size under two different treatments. Treatment 1 (T1) involved low with significant fluctuations (55%–85% moisture), while 2 (T2) maintained optimal stable levels (70%–85%). Soil dynamics revealed that T1, oscillated significantly, dropping 55% before restored them 85%. cyclical pattern indicates stress‐response mechanism triggered by system, which essential mitigating stress ensuring growth. Conversely, treatment more between 70% 85%, promoting healthy development physiological functions. The correlation sensor readings gravimetric measurements was analyzed using 45° diagonal approach, demonstrating strong agreement methods reinforcing reliability sensor‐based irrigation. Physiological assessments indicated seedlings experienced 30% increase fresh weight, 6% dry 16% height, 25% higher SPAD values compared T1 at young stage. At maturity, T2 plants exhibited 52% 78% 121% height. Fruit yield increased 47% T2, average 56 fruits per 45 weight 85 g T1. Future research should explore integration advanced sensors, machine learning algorithms, predictive models further optimize strategies, emphasis scalability environmental impact. By refining these technologies, agriculture can achieve sustainable productive outcomes face increasing challenges.

Language: Английский

Design and Development of an IoT Based Smart Irrigation System to Enhance Agricultural Productivity Using ESP8266 Wi-Fi Enabled Controller

Published: Aug. 7, 2024

Language: Английский