Integrated AI Models

Doktar is a leading provider of AI-powered agricultural solutions. We deliver real-time insights to help farmers and agribusinesses make data-driven decisions. Our technology can be integrated into IoT devices and applications, offering customized API services for crop health monitoring, pest and disease management, fertilization, and agricultural market intelligence.

Crop Type Detection

Utilizes remote sensing and a state-of-the-art machine learning algorithm to determine crop types planted in a given area. By combining satellite imagery with ground truth samples gathered through field inspections, the algorithm is trained and optimized to create a model capable of detecting more than 20 types of crops within a field or across an entire country.

Field Boundary Detection

Automatically locates and outlines the boundaries of agricultural fields from satellite imagery using deep learning techniques. This process involves training our AI model with satellite images to recognize territorial boundaries. The model then applies its learning to new imagery to predict field boundaries. Automating boundary detection increases efficiency and accuracy compared to traditional manual methods, enabling institutions to monitor farmers' declarations regarding the boundaries of their fields more effectively.

Pest Detection and Pest Type Recognition

Utilizes AI-powered image recognition to detect over 20 types of pests in a given area through a camera on the PestTrap device. It can also estimate the pest population size and promptly notify users. The algorithm continuously learns and refines its accuracy, even recognizing new pest types within two weeks of their appearance.

Automatic Problematic Zone Detection

Identifies areas with problematic NDVI values in satellite images and displays them on the Health Map, automatically alerting users to potential issues. This AI model simplifies NDVI analysis and reduces the need for daily field visits. Explore our Plant Health and Growth API service for a comprehensive field scouting solution.

Early Warnings and Risk Management

Delivers a disease risk forecast based on crop type and phenological stage of development. By analyzing relative humidity and temperature values, it accurately determines risk levels as high or low.

Fertilization Program

Utilizes crop type and soil analysis to quickly and reliably generate a customized fertilization program, preventing deficiencies and excessive fertilization while reducing input costs. It recommends the most accurate program for the season and specific parameters.

Yield Potential Comparison

Calculates and compares the average NDVI values of two fields planted with the same crop, providing farmers with yield potential indicators. This information allows farmers and agronomists to plan reparative or growth-supporting agricultural activities in areas with low yield potential.

Live Precipitation and Storm Tracking

Access a live radar map displaying the latest 2-hour movement and path of precipitation and storm clouds, covering over 90 countries worldwide.