Agriculture

AI in Agriculture

AI Solutions for Agriculture using Image Annotation

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AI in Agriculture

Training Data for AI in Agriculture

We develop training data for agriculture industry and machine learning applications. Our data annotation and labeling services are aimed at addressing the challenges associated with agricultural process automation and support all types of agricultural workflows and formats. We provide end-to-end agricultural data annotation and labeling solutions for deep learning.

Applications of AI in Farming

Robots in Precise Farming

Robots in Precise Farming

Precision farming utilizes AI technology to detect pests, diseases in plants, and poor plant nutrition on farms.

Fructify Level Detection

Analyze the health of fruits and vegetables through image annotation and labeling for accurate sorting and grading tasks.

Fructify Level Detection
Detect Unwanted Plants

Detect Unwanted Plants

Customized agricultural training data for use in agricultural robotics for detecting unwanted plants and weeds for improving agricultural yield.

3D Field Mapping

Use drone and satellite image data annotation for 3D field mapping to help agronomists predict crops’ yields and prices using agricultural AI.

3D Field Mapping
Crop Health Monitoring

Crop Health Monitoring

Automating crop health monitoring through computer vision simplifies farm operations and allows for timely detection of issues on a large scale.

Livestock Management

Incorporate AI training data into machine learning models to promote livestock welfare, track livestock movements accurately, and manage livestock more efficiently.

Livestock Management

Why Choose Anolytics for Agritech Data Annotation?

Reason #1

Image annotation is used in agriculture to make crops and other things recognizable so that humans do not need to be involved in determining the best course of action. Preparing accurate training data is crucial since it directly impacts AI’s performance in developing scalable, collaborative, and AI-assisted agricultural applications.

Reason #2

We create custom training data for agricultural industry by using multiple techniques which include bounding boxes, polygon annotation, semantic segmentation, cuboid annotation, key points, and polylines for handling tasks with varying complexity. We integrate AI in agriculture for crop health and soil monitoring, field monitoring, detecting growth progress, detecting ripeness, detecting unwanted plants, and detecting weeds, among other things.

Interested in Working with Us?

In today's tech-driven world, a career in Artificial Intelligence (AI) can be highly rewarding. Join our team of Annotation Specialist, and be a part of the company that creates high-quality training datasets.

Get in Touch with us

USA Office USA Office

16 Horseshoe Ln, Levittown, NY 11756, United States

India Office India Office

A-83, Sector-2, Noida, Uttar Pradesh 201301

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+1 516-342-5749

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