Industries

Agriculture

Improve your yield and simplify crop management with deep learning models.

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Why Loopr

A case for better implementation of AI solutions.

Easy to Use Platform

Works with teams and projects of all sizes

Industry-Specific Models

100+ models ready to be deployed across industries

Usecases

The future of Agriculture has arrived.

Crop Management
01

Crop Management

Go beyond historical data to predict output with yield mapping and estimation with computer vision solutions.

Crop Quality
02

Crop Quality

Accurately detect and classify crop quality to take appropriate preemptive action.

Disease Detection
03

Disease Detection

Optimize agrochemical input in terms of time, place, and affected plants in both open-air and greenhouse conditions.

Livestock Management
04

Livestock Management

Monitor cattle, predict production numbers and understand stress signals to increase economic efficiency of livestock production systems

Case Studies

Build a field analysis tool to estimate how the crop is doing based on irrigation, growth and quality.

Loopr Case Study - Agriculture

The company needed to estimate the density of crop, quality of crops, and identifying areas with possible over-watering, low irrigation and higher growth potential.

Loopr used ML Models with Near Infrared (NIR) Band and Red Band Image (by vegetation) to classify and generate crop health insights, with pixel based analyses and segmenting fields into specific classes.

98%reduction in time taken for field analysis and report generation

+95% accuracy achieved in the process

Other
Industries

See how Loopr's solutions are transforming a variety of industries

01

Retail

Create engaging and more personalized experiences for your customers.

02

Manufacturing

Make your Industrial processes more intelligent and reliable using Loopr's Computer Vision models.

03

Automotive

Deep Learning solutions that go the extra mile to increase utility and safety.

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