Creation of a Digital Twin Based on Microtensiometer Indices (Florapulse), Climatic Variables and Crop Data for Sustainable Production in Stone Fruit Crops

Efficient water management in agriculture is critical for sustainability, especially in water-limited regions. The use of advanced technologies, such as microtensiometers like the FloraPulse, allows accurate monitoring of plant water status, providing essential data to optimize irrigation. This article focuses on identifying the most relevant data provided by FloraPulse for assessing water stress and developing a digital twin with machine learning models that can monitor and accurately predict FloraPulse values using climatic variables and crop indices with the goal of determining when and how much to irrigate.