Structure of the DREVO Plant ID digital platform

Digital ecosystem for managing plants, forest gardens and restoration areas

WOOD Plant ID— is an intelligent digital platform that combines botany, ecology, geoinformation technologies, artificial intelligence, remote sensing, and collaborative management of natural areas.

Its purpose is not just to store information about plants, but to createdigital twin of a living ecosystem, allowing us to track the development of each tree, each guild, and each plant community over decades.

The main principle of DREVO:

Each plant is part of a unified digital ecosystem where data helps people make more accurate, environmentally friendly, and long-term decisions.

1. Platform architecture

The platform is built on a modular principle.

Basic core

Contains:

plant base;

digital passports;

map of objects;

users;

history of changes;

observation log.

Specialized modules are connected around the core.

2. Main modules of DREVO Plant ID

Plant ID Module

Identification of plants by:

photographs;

list;

flower;

fetus;

bark;

seeds;

silhouette of a tree.

Uses artificial intelligence and comparison with regional databases.

Digital Passport Module

Stores:

tree card;

history;

health;

productivity;

photographs;

tests;

work;

genetics;

digital twin.

GIS module

Interactive map of the site.

Displays:

trees;

shrubs;

paths;

reservoirs;

buildings;

irrigation zones;

sensors;

guilds;

communities;

protective strips;

ecological corridors.

Forest Designer

Forest garden designer.

Allows you to:

design plantings;

calculate distances;

model growth;

analyze illumination;

assess compatibility;

build guilds;

create different development scenarios.

Nursery Manager

Nursery management.

Contains:

lots of seeds;

mother plants;

cuttings;

rootstocks;

vaccinations;

containers;

transplants;

sales;

distribution of planting material.

Seed Bank

Digital seed bank.

The following are recorded:

origin;

germination;

storage conditions;

quantity;

shelf life;

test results;

offspring.

Sensor Hub

Receiving information from sensors.

Supported:

soil moisture;

temperature;

air humidity;

solar radiation;

wind;

precipitation;

water level;

electrical conductivity;

pH;

cameras;

spectral cameras;

weather stations.

Drone Center

Working with DREVO AeroSense drones.

Allows you to receive:

orthophoto plans;

NDVI and other indices;

heat maps;

humidity maps;

crown analysis;

stress assessment;

search for dying plants;

tree inventory.

AI Ecologist

Intelligent assistant.

He is capable of:

analyze plant health;

identify anomalies;

forecast the harvest;

recommend care;

detect diseases;

calculate drought risk;

help design new plantings.

AI recommendations are considered as assistance to a specialist and require field testing.

3. Database structure

The platform is built as an interconnected system of objects.

Main entities:

plant;

variety;

genetic line;

seeds;

nursery;

plot;

guild;

plant community;

user;

event;

sensor;

photo;

analysis;

document.

Each object has its own unique identifier.

4. Geographic structure

The platform supports several levels.

World

↓

Page

↓

Region

↓

Project

↓

Plot

↓

Zone

↓

Guild

↓

Plant

Each level has its own map and statistics.

5. Digital twin of the territory

A Digital Twin is created for each project.

It contains:

relief;

hydrology;

soils;

climate;

vegetation;

infrastructure;

water systems;

photographs;

history of changes.

A digital twin allows for the modeling of a territory's development for years to come.

6. Plant map

Each tree is displayed on the map.

When selected, the following will open:

photo;

passport;

age;

state;

harvest;

latest works;

growth charts;

related plants;

QR code.

Colour indication helps to quickly determine the condition of plants.

7. QR system

Each plant receives a QR code.

After scanning, the user sees:

Name;

variety;

origin;

history;

ecological role;

care recommendations;

photographs;

location map.

A full version of the passport is available to specialists.

8. Mobile application

The application must work offline.

Main functions:

plant search;

adding photos;

watering record;

harvest recording;

disease record;

QR scanning;

GPS navigation;

notifications;

voice input;

Synchronization after the Internet appears.

9. Life history of a plant

A timeline is automatically created for each instance.

It displays:

landing;

photographs;

bloom;

harvest;

diseases;

trimmings;

tests;

droughts;

frosts;

transplants;

changes in state.

History is never deleted.

10. Artificial Intelligence DREVO AI

AI analyzes data from different sources simultaneously.

For example:

sensors;

satellites;

drones;

photographs;

weather data;

care history.

After analysis, the system can report:

"The tree is showing signs of water stress."

"The likelihood of illness increased after prolonged rainfall."

All recommendations are accompanied by an indication of the degree of confidence.

11. Spectral module

Integrates with the systemTREE AeroSense.

Allows:

assess the condition of the leaves;

look for stress;

analyze the change in chlorophyll;

identify drying zones;

monitor recovery after watering.

The data is automatically added to the plant’s digital passport.

12. Climate module

Stores:

temperature;

precipitation;

humidity;

wind speed;

solar radiation;

evaporation;

extreme events.

The system links weather changes with plant development.

13. Water module

Allows you to control:

reservoirs;

rainwater;

wells;

drip irrigation;

soil moisture;

water consumption;

water use efficiency.

The platform can calculate:

wood consumption;

consumption per hectare;

yield per unit of water.

14. Soil module

Contains:

test results;

pH maps;

organic content;

structure;

compaction;

minerals;

salinization;

biological activity.

Allows you to compare changes over decades.

15. Biodiversity Module

Fixes:

birds;

insects;

pollinators;

mushrooms;

mosses;

lichens;

amphibians;

small animals.

Each species is tied to a specific location.

This allows us to assess the ecological value of the site.

16. Genetic module

Stores:

origin of seeds;

pedigrees;

rootstocks;

vaccinations;

offspring;

mother trees;

seed collections.

Allows to preserve the genetic diversity of the project.

17. Harvest module

The following are recorded:

weight;

quality;

sorting;

processing;

sales;

storage;

losses;

usage.

You can analyze the yield:

trees;

varieties;

guilds;

plot;

region.

18. Financial module

Allows you to take into account:

cost of landings;

expenses;

service;

equipment;

harvest;

sales;

profit;

investments.

Environmental indicators are displayed next to economic ones.

19. Recovery module

Used in reclamation projects.

The following are recorded:

stages of succession;

soil cover percentage;

restoration of biodiversity;

reduction of erosion;

accumulation of organic matter;

change in surface temperature.

20. Teamwork module

Users can have different roles:

observer;

volunteer;

gardener;

agronomist;

ecologist;

researcher;

project Manager;

administrator.

All changes are logged.

21. Science module

Allows:

conduct experiments;

compare areas;

publish the results;

export data;

build graphs;

analyze long-term changes.

22. API and integrations

The platform supports integration with:

GIS systems;

weather stations;

IoT sensors;

drones;

satellite services;

laboratories;

ERP farms;

irrigation systems.

23. Data security

The system separates access levels.

Public data:

name of the plant;

photographs;

educational information.

Professional data:

tests;

care;

health;

harvest.

Closed data:

coordinates of rare species;

personal data;

commercial information.

24. DREVO AI Cloud

All data is synchronized with the DREVO cloud platform.

The cloud provides:

backup;

synchronization of devices;

collective work;

machine learning;

knowledge sharing between projects.

25. International knowledge base

Each project can voluntarily share anonymized data.

This will allow you to compare:

efficiency of varieties;

climate influence;

species stability;

soil restoration;

productivity;

the influence of various technologies.

This is how the global DREVO knowledge base is gradually being formed.

26. Visual control panel (Dashboard)

The main screen displays:

project map;

condition of plants;

warnings;

weather conditions;

water level;

active tasks;

site health index;

biodiversity index;

harvest forecast;

latest observations.

27. Development Roadmap

Stage 1

Digital passports.

QR codes.

Plant map.

Stage 2

Mobile application.

Cloud synchronization.

Sensors.

Stage 3

Integration with DREVO AeroSense.

Spectral analysis.

AI diagnostics.

Stage 4

A complete digital twin of the forest garden.

Forecasting development.

International knowledge exchange network.

28. Final architecture

The platform integrates:

**Plant ID

Digital Passport

GIS

AI Ecologist

Drone Center

Sensor Hub

Seed Bank

Nursery Manager

Forest Designer

Digital Twin

DREVO AI Cloud.**

These modules work as a single system, linking data about each plant with the state of the entire ecosystem.

The final principle

DREVO Plant ID is more than just a plant database. It's a digital memory of a living landscape, uniting people, nature, and technology. It helps preserve knowledge, make informed decisions, and create ecosystems that can thrive for generations.