Measure factory farming risk

Animal density helps investors compare farming businesses and determine investment risk

Global population and meat consumption continue to rise. An increased demand for animal livestock has led to intensive factory farming. 99% of US and 70% of global farm animals are ‘factory farmed’. In one example, we measured over 200,000 animals in a 2.5 sq. km farm. This intensity of farming has unwanted side effects.

Antibiotic over-use on livestock has increased resistance in humans. A growing consumer backlash on animal welfare poses an investment risk for agribusiness investors. Quantitatively minded investors are looking for objective and measurable metrics to screen and conduct due-diligence on agri-business opportunities.

Animal density helps investors compare farming businesses and determine investment risk

Satellite data + high performance computing
Compare quarterly changes in animal density
Reduced investment risk

Animal density is objective and doesn’t rely on farm businesses to self report

We can measure animal density for any agri-business or geography. Animal density is a proxy for animal welfare and associated risks. Thus we provide an objective and accurate metric that doesn’t rely on self-reporting. We can measure animal density on a per request basis or at scale across geographies.

At Ryelore Ai, we deploy sophisticated research-led AI algorithms, high-performance computing servers and high-resolution satellite imagery to measure animal density at factory-farm agri-businesses.

Animal Factory Farm, Texas

Livestock density:
83,353 per sq km
Total livestock:
208,382
Total farm area:
2.5 sq km
Average enclosure size:
1,200 sq m
Land cover:
Mud

How we measure animal density

For defined locations of interest, we acquire satellite image data. Ryelore Algorithm uses advanced deep learning to find animal factory farms and calculate livestock density, farm area and average enclosure size from satellite images. We package and deliver highly accurate up to date data in convenient data formats.