SoilIoT: Iot for precision agriculture: Soil Characteristics monitoring

• Autor(a) principal: Soares, Diogo Filipe Guedes
• Data de Publicação: 2023
• Tipo de documento: Dissertação
• Idioma: eng
• Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
• Texto Completo: http://hdl.handle.net/10071/30033
• topic: Internet of Things; Agricultura -- Agriculture; LoRa; Precision agriculture; Alteração climática -- Climate change; Agricultura de precisão

Nowadays, the conditions of climate change, prolonged drought and decreasing of crops field due to the exponential increase of the population, agriculture needs a more sustainable approach. Solutions that meet sustainability are associated with precision agriculture. In this context, the objective assessment of soil conditions and mapping using geographic information systems is of the utmost importance. So, the measurement of the concentration of nutrients in the soil such as nitrogen, phosphorus or potassium as well as moisture and temperature are essential for controlling the level of wat stress and nutrient stress that allows a great production efficiency. Internet of Things solutions that are represented by sensor networks for monitoring soil characteristics with or without contact are characterized by LoRa, Wi-Fi type communication protocols and NB-IoT. The sensor data are useful for the development of very useful predictive models for the availability of nutrients and the optimization of water management, being considered also the most important actuators in the optimal administration of water and nutrients. Therefore, this project proposal arises, which aims to develop an IoT ecosystem for precision agriculture. In this project, three major parts of the IoT system were carried out: the base of the project, which consists of obtaining data from sensors and subsequently sending them to the server, a server that receives, processes and stores the data in a database and finally the website, for data visualization and analysis.