Sophisticated algorithms for tree health analysis.
Identification of potential issues before visible symptoms.
Topography
Satellite-derived elevation data reveals terrain, influencing soil properties.
AERIAL IMAGING
High-resolution aerial images for detailed orchard mapping.
Regular updates for dynamic monitoring.
Remote Sensing
Vegetation Analysis
Satellite data can indicate soil quality and moisture by monitoring vegetation health.
Spectral Analysis
Different soil types reflect light differently in satellite images, revealing composition and moisture content.
Change Detection
Over time, satellite images show soil changes due to erosion, land management, etc.
GIS Integration
Satellite data enhances Geographic Information Systems for soil mapping and decision-making.
How does the platform work?
Capture images and data through remote sensors in drones and via satellite.
Accurately locate the affected trees and send their data to the analysis center
Processing and analyzing all data related to agricultural land, including soil health data, tree health, agricultural crops and fruits.
Continue to monitor physiological changes in crops and trees using unique algorithms.
Provide dashboards, insights, reports and alerts including injury and damage assessment, nutritional analysis and yield estimates.
Managing agricultural data for several years: managing soil data, agricultural crops, trees and fruits.
Provide immediate and easy access for the farmer and agronomist to enter farm processing data all year round.
Possibility to allow the farmer to enter data about transplant treatment and diseases with complete management of the farm.
Technologies Embedded in the Cloud Platform Developed by GROWTECH
Remote Sensing
Geographic Information System (GIS)
Deep Learning
Machine Learning (ML)
Statistical analysis
Artificial intelligence
Soil data management
Farm data management
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