Resumen:: Smart and Sustainable IoT-Driven Vertical Farming Solution for Agricultural Challenges in Pakistan :: SILO. Sistema nacional de repositorios digitales. Uruguay

Artículo Publicado

Smart and Sustainable IoT-Driven Vertical Farming Solution for Agricultural Challenges in Pakistan

Solución de agricultura vertical inteligente y sostenible basada en IoT para los desafíos agrícolas en Pakistán

Solução de agricultura vertical inteligente e sustentável baseada em IoT para desafios agrícolas no Paquistão

Ur Rehman, Sadiq - Adeel Mannan, Muhammad - Ahsan Shaikh, Muhammad - Uzair, Muhammad

Detalles Bibliográficos
Fecha de publicación:	2025
Temas:	Energía solar Eficiencia hídrica Agricultura impulsada por el IoT Agricultura vertical Agricultura sostenible Agriculture Solar Energy Water Efficiency, Sustainable Agriculture Vertical Farming Agricultura orientada por IoT Energia solar Eficiência hídrica Agricultura sustentável Agricultura vertical
Idioma	Inglés
Institución:	Universidad de Montevideo
Repositorio:	REDUM
Enlace(s):	http://revistas.um.edu.uy/index.php/ingenieria/article/view/1727 https://hdl.handle.net/20.500.12806/2783
Nivel de acceso:	Acceso abierto
Licencia:	Atribución 4.0 Internacional

Resumen:
Sumario:	Agriculture in Pakistan faces critical challenges such as water scarcity, inefficient resource use, and climate change impacts, particularly in urban and peri-urban areas. This study presents a smart, solar-powered vertical farming system designed to address these issues by integrating capacitive soil moisture sensors, temperature and humidity sensors (DHT22), and light sensors (BH1750), controlled via Raspberry Pi 4. The off-grid system, powered by a 100-watt solar panel and battery, features intelligent irrigation driven by a Random Forest algorithm to optimize water use. Over a six-week trial cultivating cherry tomatoes, the system achieved a 60–65% yield increase, 40% energy savings, and a 28.57% reduction in water consumption compared to traditional methods. While promising, limitations include the small trial size and lack of long-term environmental impact data. Scalability challenges such as cost, maintenance, and local constraints must be addressed for wider adoption. Future work will focus on expanding crop varieties, enhancing AI integration, and improving accessibility for small-scale farmers to support sustainable urban agriculture and food security in Pakistan.