Earthdaily Geosys
Advanced analytics based on satellite imagery and machine learning
Description
The Geosys platform is a cloud-based platform that provides the critical capabilities such as data or API needed throughout the analytic process of data-driven farm decisions. The modules available in this cloud-based platform include from data connectivity to the data preparation and enrichment needed to create analytics-ready data, to advanced analytics and modelling, to flexible delivery options that provide reporting, visualization, and collaboration. Current API includes field vegetation index maps to measure vegetation time series and growth measured daily. These indexes are NDVI (Normalized Difference Vegetation Index), EVI (Enhanced Vegetation Index), CVI (Chlorophyll Vegetation Index), GNDVI (Green Normalized Difference Vegetation Index), LAI (Leaf Area Index) and more if needed. Furthermore, the platform offers field agronomy maps such as yield variability and yield goal map, organic matter map, satellite derived management zones, elevation and slopes map, nitrogen application maps (for wheat, barley, canola and more). Another API offered by geosys platform concerns weather data. These collect and display multi-model datasets covering historical, current weather and forecasts, several aggregation levels: admin unit, small ag region and location based agronomic parameters like temp min, max, average, rainfall, wind speed, humidity, snow depth, atmospheric pressure, soil moisture, temperature and precipitation (Daily). Finally, the platform is equipped with API for notifications and warnings to get information as soon as available on the Geosys platform and focus on key information or anomalies. Among these, users can receive new satellite image notification, difference map with anomaly detection, fields benchmarking and status change. Overall, geosys addresses challenges in agriculture, enhancing resilience by delivering analytics that reduce everyday risks, making it a transformative solution for precision farming.
Technology
The Geosys platform utilizes GIS and GPS to harness satellite imagery, providing enhanced data analytics through machine learning. Primary data is collected by Earth-observing Satellites of Enterprise-Grade Change Detection. Secondary or supplemental data is collected by Landsat, Sentinel Weather, Radar, Drone, Statistics, and Specialty Data. Its analytics encompass agro-environmental indexes like the NDVI, EVI, LAI, Change Detection, Yield Trend Benchmarking, Productivity Risk Score Map, Planting Validation, Crop Identification, Vegetation vigor comparison to average, Soil moisture comparison to average, Snow depth in relation to winter kill risk, and more. Employing Big Data principles, the platform processes extensive datasets to generate normalized Analytics Ready Data. Machine learning interprets these datasets, improving analysis and pattern identification. The platform has the capability to integrate data from third-party sources.
Target
The Geosys platform is predominantly utilized by agricultural enterprises and farmers aiming to bolster decision-making through advanced insights from satellites. However, it can also be used by business users, data scientists, developers and third-party systems. It caters to a broad user base across industries like Digital AG, FinTech (Lending and Insurance), Commodities Trading and Logistics, and Food & Beverage. While the platform is highly effective for medium and large enterprises, it may be perceived as more tailored to their needs compared to those of smallholder farmers.
Business model
Impact
The Geosys platform can yield tangible positive outcomes across diverse sectors. In agriculture, it aims to enable precise resource allocation, enhancing operational efficiency for farmers and enterprises. The platform's analytics, including NDVI and Yield Trend Benchmarking, can contribute to improved decision-making throughout the growing season, resulting in optimized yields. In the FinTech industry, the platform's risk assessment tools, such as Productivity Risk Score Maps, can lead to more accurate underwriting and fair market pricing. This can have a direct impact on operational efficiency and cash flow management, streamlining processes for financial institutions. In commodities trading and logistics, the Geosys platform can empower decision-makers with a comprehensive understanding of global crop conditions, as well as monitor and benchmark fields and optimize inputs. This insight can facilitate more informed decisions on supply chain management, leading to increased profitability and streamlined operations. For the food and beverage industry, the platform's invisible weather insights derived from satellite imagery can contribute to better harvest planning, enabling stakeholders to anticipate changes in crop yields and improving overall production efficiency and quality.
Partners
Infopulse;Global Clean Energy Holdings;Inc.;Subsidiary Sustainable Oils;Inc.
Four Betters
Better production
