Homepage - Agrosage The MRI of Agriculture

The Problem

Today, 20-30% of greenhouse yield is lost due to pests, diseases and nutrient imbalances – representing a huge financial loss.

The identification of pests and diseases requires a professional scout that visits the greenhouse every 1-2 weeks.

The development of pests and diseases in the greenhouse is exponential, and requires daily attention in order to stop the infestation at the earliest.

The common practice today, due to lack of capability to early detect infestation, is to use chemicals extensively, which is both costly and harmful.

The Solution

Agrosage technology enables early detection of pests and diseases in greenhouse crops.

Agrosage developed a special device that allows farmers to quickly and frequently scan large greenhouse areas and identify in real time pests, diseases and nutrient deficiencies. A unique algorithm decodes beyond image recognition, interactions between pests, diseases, nutrients, temperature and humidity and geographical location. It produces an accurate and up-to-date snapshot of the greenhouse including the level of infestation and prediction of future development of the lesions.

A Simple Process Backed by State-of-the-Art Agricultural Technology

1. Scout

A farm worker does the traditional job of the “scout”- using the ‘Agrostick’ – a dedicated optic device, to capture and document findings following an AI-based, adaptive scouting routine.

2. Analyze

Our advanced AI algorithms analyze the findings and report pest type, life cycle stage, count on leaf, and nutrient deficiencies.

3. Treat

Based on the ‘Infestation Map’ available on the Agrosage dashboard, the farmer can apply focused and more effective infestation based treatments, resulting in reduction of pesticides use and improvement of the overall yield.

Our Team

Joshua Bakola

Chairman

Former Managing Director of HP Israel and a high-tech entrepreneur

Yoav Adomi

CEO

High-tech entrepreneur
with 13 years of
C-level experience

Tomer Yanir

CTO

Extensive technological expertise, with over 17 years of experience in the fields of computer vision and machine learning.

Yonatan Gelman

Chief Agronomist

Precision agriculture expert and a senior agronomist with a vast experience in innovative development of AgTech precision systems in multinational companies