Mar 19, 2021
No image
Completed

Smart Livestock Farming solution

$25,000+
2-3 months
Israel
1
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Service categories
Types of Services
Other
Domains
Other
Solution type
AI & ML
BI Tools
Languages
Python
Frameworks
Flask
TensorFlow
Other

Challenge

The client wanted to build a solution that would give farmers advice on how to achieve the optimal livestock population and automatically administer the stock in real-time. The solution in mind would also have to provide automatic monitoring, tracking, and weighing the of the stock, thus speeding up the measurement process, facilitating human labor, and decreasing farm costs.

Solution

Quantum built a real-time, cloud-based pig farm monitoring platform that detected, classified, and quantified livestock. We developed: - algorithms for data preparation, munging, and image processing - optimization algorithms for parameter estimation - algorithms for results prediction The solution was a web-based service that connects to farm servers, runs the algorithm to classify animals in real-time and receives a live stream from the cameras on the farm.

Results

The Quantum team used machine learning to predict, categorize, classify and measure animals from the given datasets of the live-stream from cameras on farms.
The Quantum team used machine learning to predict, categorize, classify and measure animals from the given datasets of the live-stream from cameras on farms.