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  2. Data mining in agriculture - Wikipedia

    en.wikipedia.org/wiki/Data_mining_in_agriculture

    The early detection of animal diseases can benefit farm productivity, by allowing the farmer to treat and isolate the affected animal as soon as the symptoms appear. This can be very effective at reducing the spread of disease to other animals. Sounds emitted by pigs, such as coughing, can be analyzed for disease detection. A computational ...

  3. Precision agriculture - Wikipedia

    en.wikipedia.org/wiki/Precision_agriculture

    Decisions may be based on decision-support models (crop simulation models and recommendation models) based on big data, but in the final analysis it is up to the farmer to decide in terms of business value and impacts on the environment- a role being taken over by artificial intelligence (AI) systems based on machine learning and artificial ...

  4. FarmWise - Wikipedia

    en.wikipedia.org/wiki/FarmWise

    When working on the field, the machine uses an AI-enabled detection feature to actuate blades around and in-between the crops and in the furrows. [21] In order for their weeding system to operate successfully, the team trained machine learning algorithms on millions of crop images, so that the machine can differentiate between crops and weeds ...

  5. Agritech company Cropin launches its cloud platform to ... - AOL

    www.aol.com/news/agritech-company-cropin...

    Backed by investors including the Bill and Melinda Gates Foundation and CDC Group, Cropin is set on digitizing the agricultural industry. Today, the company announced the launch of Cropin Cloud, a ...

  6. Kindwise - Wikipedia

    en.wikipedia.org/wiki/Kindwise

    Other products include insect.id, [9] mushroom.id [10] and crop.health [11] are machine learning-based identification APIs for the identification of insects, fungi and economically important plants, [12] respectively, and include also online public demos. The FlowerChecker app was discontinued in October 2024 after 10 years of successful operation.

  7. Crop simulation model - Wikipedia

    en.wikipedia.org/wiki/Crop_simulation_model

    CropSyst, a multi-year multi-crop daily time-step crop simulation model developed by a team at Washington State University's Department of Biological Systems Engineering. [ 4 ] DSSAT , the Decision Support System for Agro-technology Transfer, is a multi-crop, multi-year crop simulation model which evolved from the IBSNAT (1982-1993) and ICASA ...

  8. Satellite crop monitoring - Wikipedia

    en.wikipedia.org/wiki/Satellite_crop_monitoring

    Satellite crop monitoring technology allows to perform online crop monitoring on different fields, located in different areas, regions, even countries and on different continents. The technology's advantage is a high automation level of sown area condition and its interpretation in an interactive map which can be read by different groups of users.

  9. The gambling industry's sly new way to suck money from ... - AOL

    www.aol.com/gambling-industrys-sly-way-suck...

    Narrativa is among a crop of startups seizing on the artificial intelligence boom to enthusiastically automate writing tasks that would once have fallen to humans. From penning regulatory ...