• Agriculture
  • 0 Case Studies
Computer Vision for Agricultural Robots and Equipments

Dilepix was born from the observation that conventional farmers use large quantities of preventive chemicals, because they can not constantly monitor their crops and their livestock.

To address this problem, we have developed a software solution to monitor farms activities in real time and automatically using cameras.

Indeed, our cloud platform retrieves images and video that come from smartphones or cameras that are placed in crops or embedded on tractors and drones. Our algorithms automatically detect agronomic threats such as insect pests, plant diseases or weeds.

Our solutions malso ake it possible to detect abnormal behavior of livestocks animals.

Our platform provide cooperatives' technicians with objective diagnoses of their farmers production so that they can alert them automatically when a threat is detected and so that they can sell them technical advice.

Our solutions are also suitable for manufacturer of agricultural equipements and insurance companies.

Company Details
  • www.dilepix.com
  • Headquarters Rennes, France
  • Year Founded 2018
  • Current Funding 1.5 M€
  • Company Size 2-10 employees
  • Specialties Machine Learning, Robotics, Computer Vision, Deep Learning, Agriculture
  • Stage Seed
How Dilepix uses AI in their company

Dilepix solutions combine an expertise in neural networks and deep learning algorithms with competencies in world class patented computer vision technologies. These technologies have been developed in partnership with major industrial groups, such as Dassault, Airbus, Orange, Intel & Softbank Robotics,
and have been validated in real-world conditions, from the ocean to outer space.

The combination of these two technological bricks allows ultra-robust detection, localization and interpretation of agronomic threats and opportunities in images and video streams.

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