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Use Case Cluster #2 - Vegetables

Precision irrigation/ fertilization, harvest /diseases prediction for vegetables/arable crop increased production. Involve IoT sensors, edge cloud, radiation/clorofile/pH metering, multiple data platforms with geotagged photos alone with drones/satellite multispectral imagery.

The use cases of Cluster 2 for vegetables are:

  • UC 2.1: Precision open field/greenhouse Irrigation/Fertilization: Compare open field and greenhouse yields, focused on tomato and cucumber via an innovative fully automated sensing/decision/irrigation system.
  • UC 2.2: Increase Leek production/quality: Optimization of fertilization based on field conditions and crop needs to improve yield and quality while reducing nutrient losses.  
  • UC 2.3: Reduce irrigation water: Similar to UC 1.1, UC2.3 targets the reduction of wasted irrigation water in vegetables by predicting irrigation requirements and improving the irrigation automation.  
  • UC 2.4: Automatization of greenhouse windows for climate control: Greenhouse windows will be automatically open and close based on crop state and temperature/weather conditions.
  • UC 2.5: Optimisation of Soluble Solids Content: detection of soluble solids content focused on tomatoes through non-destructive methods in situ (non-harvested fruits) may have significant impact in quality (ºBrix)