About crop protection solution

Skyglyph for Crop Protection is a collaborative web platform that uses remote sensing and machine learning for precise crop inspection and risk assessment. The platform analyses images and other data from drones, satellites, and even smartphones to detect crop status and risks.

The system helps increase sales and offers actionable intelligence for decision-making. 

Our solution provides integrated capabilities for drone operations management, data processing from drones and satellites, analysis reports, and risk detection using machine learning technology. The system offers several unique features for crop protection companies including image crop segmentation, plant density estimation, out-of-the-box field trial reporting, and multivariate correlation analysis.

Аudience

The users of this solution can be crop protection, agriscience, and seed companies; agro consulting companies; food producers with the full cycle of manufacturing

Features

• Сollaborative business process 

  • Manage users and teams in the corporate environment

  • Mapping assets dynamically on the map or importing field borders from common electronic formats. Every asset has its own properties, including acreage, owner, crop rotation, products, application, etc.

  • Create a scouting mission, based on assets and assign missions to the pilot. Mission contains key parameters for execution: type of drone and camera, time of scouting,  scouting team, etc. Also, all scouting data is placed in the mission.

  • Share reports and analyses among experts and clients with one click

• Data processing and storage

  • Using of multisource data: from drones, smartphones, and satellites

  • Store and organize collected data in one place.

• Process data automatically

  • Automatically process all data in the one button click

  • Getting basic results, including maps of field, Digital Elevation Models, 3D models, thermal maps

• Generate a number of analytical reports, including

  • Precise visual map of field to detect obvious risks like weeds, diseases, drought, lack of nutrients, etc.

  • Stress analysis allows using multispectral channels to monitor crop health by the number of vegetation indices

  • Interactive crop segmentation uses the color and structure of crops to detect risks (weeds, diseases, drought, lack of nutrients, etc). Users can add damage examples and refine the risk zones iteratively

  • Plants density report utilizes a powerful Deep Learning engine for detection of plants and rows statistic collection from low altitude photos and further interpolation of plants density over the field

  • Field Trial report which supposes comparative vegetation analysis between several experimental parcels of land

  • Correlation Analysis report, which is designed to find the correlation between a number of survey point parameters in the field and vegetation satellite/drone map

Differentiation

• Intuitive. a specific set of tools for image analysis that allows the professional Field Engineer/Agronomist/Agricultural Consultant to use the system without the skill of a data analyst

• Convergence. Ability to collect, process, and visualize data from satellites, drones, smartphones, and other IoT devices

• Human AI. An interactive and adaptive two-step approach to AI tools. A combination of very simple instruments like segmentation with a more advanced Deep Learning engine allows users to utilize AI from scratch and collect their own data for further more complex tasks

Value

• 6x faster data collection and processing

• 30% surveying cost reduction

• Actionable intelligence for quicker decision making

• Consolidate an expert knowledge base across the company

• Services de-commoditization

• Increase in volume and margin of product sales 

Links

Crop Protection solution landing page