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Agriculture

How Is External Data Used in Agriculture?

Every aspect of agriculture requires a wide range of specialized data and decision-making abilities. However, traditional farming and ranching cannot take in data in real time about every minute aspect of a field or animal as computers can. Additionally, prediction of anything from crop yields to breeding program success is more difficult for humans than for machines.

AI-based agriculture, then, is used because it takes in real-time data on anything. For example, farming solutions manage data on micro-climate, soil quality, plant classification, weather, historical yield, employee data, and more. Similarly, livestock management solutions use data on animal classification, animal behavior and appetite, feed and water quality, and so on.

How are Machine Learning Models Used in Agriculture?

Machine learning optimizes the proper management of crops and livestock through the constant, real-time collection of data on the minutest level, as noted above, through the use of satellite data, sensors, cameras, and robots. They can identify predatory insects and diseases with image recognition, predict plant yields or the most likely successful new plant strains with predictive algorithms, and use technology to constantly monitor animal health and waste.

Which Companies Lead the Way in Building Advanced Analytics and Machine Learning Products in This Field?

AbuErdan
AbuErdan uses machine learning models to manage chicken production, from breeding to hatchery to broiler to slaughter. Sensors and cameras record animal behavior, feed, and water data 24/7 while artificial intelligence optimizes chicken health and production.
PEAT
Founded by scientists from rural areas, PEAT has a global vision to reduce food insecurity and improve the environment. It offers Plantix, a mobile app available in 18 languages that uses machine imaging to identify 30 major crops and diagnose pest predation, diseases, and nutrient deficiencies.
Trace Genomics
Combining genomics, biology, and machine learning, Trace Genomics collects soil samples from farmers and reports on the chemistry and microbiological content. Farmers can then make informed decisions about crops, diseases, fertilizers, and more.

Relevant datasets

Stirista Political Data

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Stirista offers data that politicians and advisors can use to reach out to constituents and donors. Stirista has (so far) 150 million registered voter details sorted into 360 data points, including donation history. With this contact, demographic, web, and behavioral information, Stirista Political Data enables targeted advertising and outreach.

Stirista can also provide historical campaign data at all levels to help politicians plan effective political strategies.

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Exante Global Flow Analytics

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Acxiom Infobase

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Acxiom Infobase provides customer insight data for targeted marketing campaigns in a wide variety of industries

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