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Submitted September 29, 2026
Published 2026-09-29

Artículos

Vol. 7 No. 1 (2026): Revista Semilla del Este

Agroclimatic monitoring with IoT to determine the viability and enhance vegetable cultivation in La Peña, Herrera, Panama


DOI https://doi.org/10.48204/semillaeste.v7n1.11387

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References
DOI: 10.48204/semillaeste.v7n1.11387

Published: 2026-09-29

How to Cite

Camargo C., A. D., Camarena Q., F. H., & García G., I. G. (2026). Agroclimatic monitoring with IoT to determine the viability and enhance vegetable cultivation in La Peña, Herrera, Panama. Revista Semilla Del Este, 7(1), 19–29. https://doi.org/10.48204/semillaeste.v7n1.11387

Abstract

This project evaluated how agroclimatic conditions recorded using IoT technology influence the viability of vegetable cultivation in La Peña, Las Minas district, Herrera province. Despite having a potentially favorable climate, the region does not have significant horticultural production, partly due to soil acidity and a lack of accurate climate information that limits agricultural planning. To address this problem, a SparkFun ESP32 MicroMod IoT weather station was installed, collecting data every five minutes for eight weeks, measuring variables such as temperature, soil moisture, precipitation, and wind speed. Simultaneously, experimental plots were established with five crops: celery, romaine lettuce, cucumber, chili peppers, and tomato. Plant growth and health were monitored weekly through direct observation and field measurements. The results revealed that cucumber, tomato, and chili peppers showed sustained growth and good adaptation to local conditions, even under high temperatures. In contrast, celery and lettuce showed greater sensitivity to heat and low relative humidity. Significant correlations were identified between climatic variables and plant development, allowing for the establishment of reference parameters to optimize horticultural production in the area. The research concludes that the use of IoT technology is an effective tool for generating accurate data, supporting agronomic decisions, selecting adapted crops, and proposing strategies such as smart irrigation and heat mitigation, thus strengthening agricultural sustainability in rural communities.