ESTCB - Artigos em revistas com arbitragem científica
Permanent URI for this collection
Browse
Browsing ESTCB - Artigos em revistas com arbitragem científica by contributor "Yu, Guanding"
Now showing 1 - 1 of 1
Results Per Page
Sort Options
- Edge-computing smart irrigation controller using LoRaWAN and LSTM for predictive controlled deficit irrigationPublication . Baseca, Carlos Cambra; Dionísio, Rogério Pais; Ribeiro, Fernando Reinaldo; Metrôlho, J.C.M.M; Yu, GuandingEnhancing sustainability in agriculture has become a significant challenge today where in the current context of climate change, particularly in countries of the Mediterranean area, the amount of water available for irrigation is becoming increasingly limited. Automating irrigation processes using affordable sensors can help save irrigation water and produce almonds more sustainably. This work presents an IoT-enabled edge computing model for smart irrigation systems focused on precision agriculture. This model combines IoT sensors, hybrid machine learning algorithms, and edge computing to predict soil moisture and manage Controlled Deficit Irrigation (CDI) strategies in high density almond tree fields applying reductions of 35% ETc (crop evapotranspiration). By gathering and analyzing meteorological, humidity soil, and crop data, a soft ML (Machine Learning) model has been developed to enhance irrigation practices and identify crop anomalies in real-time without cloud computing. This methodology has the potential to transform agricultural practices by enabling precise and efficient water management, even in remote locations with lack of internet access. This study represents an initial step toward implementing ML algorithms for irrigation CDI strategies.