countries
ICT–AGRI–FOOD · PROJECT ID 50
AI-powered early warning against tomato diseases.
HEALTHYTOMATO combines greenhouse sensors, RGB, hyperspectral and multispectral imaging, drones and artificial intelligence to assess disease development risk and detect early symptoms.
partner organisations
months
work packages
tomato seedlings
hyperspectral images
From data to early warning
A complete view of plant health.
The project does more than classify a diseased leaf. It brings plant images, greenhouse conditions, expert observations and cultivation data together in a single decision-support approach designed for small and medium-sized greenhouses.
Discover the projectProjectICT-AGRI-FOOD · ID 50
Türkiye project224N743
PeriodFebruary 2025 — January 2028
CoordinatorLBTU · Latvia
Research & technology
Tools that bring research into the field.
01
02
Working prototype
M3M Map
Transforms DJI Mavic 3M imagery into orthophotos, spectral maps and plot statistics.
Technologies03
Validation stage
ArUco & Leaf Analyzer
Perspective correction, segmentation and projected plant-area analysis.
Technologies04
Work in progress
Smart Greenhouse
An interface combining greenhouse zones, microclimate sensors and irrigation lines.
Technologies05
Working prototype
MQTT Irrigation
Remote individual and collective control of eight irrigation channels.
Technologies06
Data analysis ongoing
Hyperspectral Analysis
Early-stage Alternaria and Botrytis research using approximately 5,000 images.
TechnologiesInternational consortium
Three countries, one research culture.
Latvia · Project coordinator
LBTU Institute of Plant Protection
Estonia · Project partner
Tamiatics OÜ
Türkiye · Project partner