DECISION SUPPORT SYSTEM
Data-Driven Olive Cultivation with Agricolus Water, Pest, and Nutrient DSS
01
Agricolus OLIVES - Olive fruit fly DSS
A set of models and decision tools are provided to estimate the potential infestation risk for the olive fruit fly at the beginning of the season. These models will estimate also the mortality and the phenological development of each generation. The purpose is to obtain an efficient pest management strategy.
02
The Agricolus Nutrient DSS
DSS is based on a balance model connected with a plant model estimating the phenology and the nutrient requirement. The most complex model involves nitrogen estimation. Soil texture, properties and variability will be taken into account to allow the production of soil maps to be used to estimate the actual nitrogen content.
03
The Agricolus Water DSS
relies on a comprehensive water balance model, considering weather data, soil and crop conditions. It calculates daily water content and suggests optimal irrigation levels.
PLANT PHENOLOGY ESTIMATION
Empowering Olive Growers through Timely Plant Phenology Insights
The Plant Phenology Estimation component serves as a crucial predictor of the next phenology phase up to six days in advance, empowering growers with valuable foresight for their olive crops. This component predicts the next phenology phase up to six days in advance, empowering olive growers with valuable foresight for optimal crop management.