As part of the SWAMP Project the Master's Degree project of Gilberto Souza proposes a model for irrigation precision that use IoT distributed on an experimental field for the acquisition of climatic data, weather forecast, and the phenological development for a culture of a sweet pepper crop to model irrigation requirements of the sweet pepper obtained through a Fuzzy Inference System (FIS).
Data is in CSV format and the data are on a daily scale. In this file, you will find the historical data of Reference Evapotranspiration (eto), Crop Evapotranspiration (etc), Rainfall (rf), Soil Moisture (sm), FAO Irrigation (irr_fao), and Fuzzy Model Irrigation (irr_fuzzy) for a period of 08/01/2020 to 12/07/2020. .
The crop used for this dataset was sweet pepper and the crop factors for each growth stage can be found here.
The first pilot consist on a validation of the Fuzzy Inference System proposed on a small two pots with dimensions height=0.2m, width=0.2mand depth=0.25m. The soil type of the pilot is Silt Clay with a field capacity of 36 %. The historical data can be found here
The second pilot consist on the application of the FIS was located in the city of Extrema, MG, Brazil. The soil type of the pilot location is Clay with a field capacity of 39,5%. The historical data can be found here
The Fuzzy inference system developed can be observed in the following image.
The following pictures were registered in the experimental field. More pictures can be found here.
