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Sagri

Sagri develops agricultural software that utilizes satellite data and AI image analysis to detect abandoned farmland and assess crop types. Their platform enhances farm management by visualizing soil and crop health, addressing inefficiencies in agricultural practices.

Founded 2018
Updated 4 months ago

Funding

$7.9M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Inefficient farm management practices and lack of visibility into soil and crop health hinder optimal agricultural production. Detecting abandoned farmland and assessing crop types manually is time-consuming and lacks scalability. This can lead to poor resource allocation and reduced yields.

Solution

Sagri leverages satellite data and AI-powered image analysis to provide actionable insights for precision agriculture. Their platform detects abandoned farmland, assesses crop types, and visualizes soil and crop health, enabling farmers to optimize resource allocation and improve yields. By combining satellite imagery with AI, Sagri delivers a comprehensive solution for efficient farm management and sustainable agricultural practices. The platform offers a suite of tools designed to address various challenges in agriculture, from land monitoring to crop management.

Target Audience

Sagri's primary customers are farmers, agricultural cooperatives, and land management organizations seeking to improve farm management practices and optimize crop yields through data-driven insights.

Features

  • **Akutaba:** Farm patrol application for detecting abandoned farmland using satellite imagery.
  • **Detaba:** Crop survey application for identifying crop types through AI-powered image analysis.
  • **Ninataba:** Farmland matching service connecting landowners with farmers and agricultural workers.
  • **Sagri:** Farm management application visualizing crop and soil conditions for informed decision-making.
  • AI-driven polygon technology for precise image analysis.
  • Integration of satellite data for comprehensive agricultural monitoring.
This profile is AI-generated and may contain inaccuracies.