Epik is taking a fresh look at the Drivers and Challenges facing Agriculture in the 21st century. One that is focused on the data and the associated “pipework” required in the Integrated application of Yield AI, Water management AI, and Greenhouse Gas (GHG) AI. Implemented on Edge Infrastructure and underpinned by Blockchain Traceability. Epik is “Making Data Work” for our clients.
Farmers must interpret data.
Dependency on human Agronomists.
Distrust of technology.
Predictive models to maximize effectiveness and minimize risk.
Prescriptive recommendations to affect outcome.
Automation of farming operations.
Data authenticity – manual entry vs. automated collection.
Growing demand for food.
Data overload.
Improve the quality, quantity, and health of crops, animals, and seafood.
4Rs—Right rate, Right timing, Right source, and Right placement.
Commerce data enabler of cost/benefit decisioning.
Weather unpredictability due to climate change.
Water scarcity.
Water waste.
Irrigation automation.
Hyper-local sensor/imaging data.
Water use efficiency.
Agriculture’s substantial CO2e driving climate change.
Data uncertainty. Model Uncertainty. Scenario Uncertainty.
Poor quality, scattered, or outdated, region-limited, datasets and models.
Carbon Neutrality and Carbon Credits.
Carbon Footprint labeling.
Turning captured sustainability metrics into intelligible, actionable, data.
Data authenticity – manual entry vs. automated collection.
Farmer accessibility/participation.
Regulation.
New generation of consumers want to be able to trace their food back to its source.
Food Safety.
Farmers looking to use data to increase their role in the value chain.
Data accuracy and security.
Data privacy concerns.
Connectivity and cost.
Collecting and accessing data from equipment and sensors in the field.
Micro-change detection on a zone-by-zone basis.
IoT.
