LAYERS

AI-powered crop prediction models

Description

LAYERS is an AI-based SaaS platform that provides crop forecasting for land development. It facilitates precise land control, allows the application of corrective measures and optimizes resource use. LAYERS is a tool that harmonizes land efficiency, resource conservation, and crop health, aligning with modern agricultural demands in support of greater yields and responsible stewardship.

Technology

  • Mobile app
  • Desktop/web-based application
  • Remote sensing
  • GPS
  • Cloud
  • Big data
  • Artificial intelligence (AI)
  • Artificial intelligence (AI)

LAYERS is based on AI and ML. Nurtured and trained through applications in over 24 countries, the predictive models analyzes millions of hectares annually to ensure accuracy and adaptability. Leveraging satellite data, and climate and soil information, the software crafts tailored production forecasts with exceptional accuracy, surpassing 96%, and users can access the analytics via the web or a mobile app.

Target

  • Large size farms
  • Medium size farms

The users of LAYERS are accomplished agriculturalists who oversee vast landscapes that often exceed 5000 hectares, and that are engaged in the cultivation of a diverse range of crops, including cotton, corn, sugar beet, sugar cane, soy and wheat.

Business model

  • Fee for service
  • Subscription

LAYERS operates on a hectare-based subscription model offering a broad suite of solutions. Services are offered on an annual basis, and are priced per hectare based on the type of crop and the required features. The pack is fixed, and once seeding starts, a specialist is assigned to the case who sets goals for the next harvest, working together with the user throughout the year. The final ticket formula is prix per hectare x number of hectares. The reported return on investment stands at a minimum of 1:2, based on increased production or input savings.

Impact

LAYERS can deliver pivotal insights into production practices, and uses forecasting models that stand out as game-changers for producers. Agriculturalists can gain visibility into expected tonnage and content peaks, allowing precise harvest date planning in support of remarkable 10% production increases (according to the company). Targeted input utilization can minimize waste, providing significant cost savings, while continuous crop monitoring provides agriculturalists with real-time data, facilitating timely interventions that can be used to support transitions to sustainable practices.

Four Betters

  • Better production
  • Better environment

Sustainable Development Goals

  • SDG 2: Zero hunger
  • SDG 11: Sustainable cities and communities
  • SDG 12: Responsible consumption and production
  • SDG 13: Climate action
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