TOWARDS SMART AGRICULTURE IN THE THIES REGION

The digital transition represents a major challenge for Senegalese agriculture, which is facing resource scarcity, the impacts of climate change, and the growing need to optimize production systems. In this context, our research aims to propose an integrated technological architecture, based on the Internet of Things (IoT), long-range communication (LoRa/LoRaWAN/4G), and artificial intelligence (AI), to digitize and modernize the five strategic areas of the agronomy cluster at Iba Der Thiam University in Thies: arboriculture, market gardening, fish farming, dairy production, and poultry farming.The platform to be developed will rely on the use of sensors adapted to each sector. In the fruitand vegetable sectors, the 7-in-1 NPK sensor provides essential measurements of soil fertility (nitrogen, phosphorus, potassium), pH, conductivity, and moisture, enabling the development of predictive models for water stress, phytosanitary risks, and nutrient requirements. In fish farming, an electrical conductivity (EC) sensor is deployed to continuously monitor the physicochemical quality of the water, anticipate eutrophication risks, and stabilize fish production. The dairy and poultry sectors,for their part,rely on DHT22(temperature/humidity) sensors to monitor the microclimate, assess heat stress in cows or poultry, and improve animal welfare.The data from these IoT devices will be transmitted via Heltec Wi-fi LoRa 32 modules to storage and processing platforms, thus constituting a reliable and adaptable multi-layered monitoring system.