EMPOWERING The Agriculture Value Chain

Transcription

1 EMPOWERING The Agriculture Value Chain Claudia Roessler ( ) Director Agriculture Industry Microsoft Corporation

2 Agriculture needs to fundamentally transform Global access Sustainable production Economic growth 1 in 9 people are undernourished (UN) 70% of global water resources are needed for Agriculture 30% of global workers are employed by Agriculture 65% Reduce poverty for 65% of the world s poor who live in rural areas and work in farming 24% of global greenhouse emissions come from Agriculture 10-30% Agriculture contributes 10% of global GDP and up to 30% in low income countries 70% more food is needed by T liters of water to be saved in 2030 from implementing Smart Agriculture $4.8T Global Agriculture revenue Source: Sustainability development goals, UNITED NATIONS 2017

3 Microsoft helps you transform for tomorrow CONNECTED FARMS Enable data collection with agriculture IoT sensors Robotics and equipment INTELLIGENT ADVISORY Access real-time, actionable insights with remote sensing and weather patterns Research and Development Farm management and sensing Outcome-based services Irrigation Performance FOOD SAFETY Gain visibility into resource movement across the value chain SECURE DATA SHARING Ensure data protection between agricultural entities Track and trace Supply chain Blockchain Agriculture data platform

4 Fueling the Agriculture Decision Engine AI based Advisory Connected Farms Connected Food Safety Mixed Reality & Predictions

5 Farmers in India are using AI to increase crop yields Planting decision Sowing Date Pest Alert Price Forecast 10 planting advisories automated voice calls or text average of 10-30% yield increase

6 // AI for Earth Land cover mapping Giving organizations a faster, more effective, and lower cost land cover mapping tool to help them better analyze, monitor, and manage natural resources. Automate vegetation index Deforestation Sustainable practices Example: recognizing and marking visible evidence of practices such as the presence of filter strips and riparian buffers.

7 Remote support leveraging AI & Cognitive Services Other helpful findings: Public data Location & context-based Chatbots Crowd-sourcing and community

8 Fueling the Agriculture Decision Engine AI based Advisory Connected Farms Connected Food Safety Mixed Reality & Predictions

9 Fewer sensors Connectivity Imagery from drone or camera Aggregation Microsoft FarmBeats Crow Farm 30% less water for irrigation 44% less lime to control soil ph Moisture level determine planting of seeds Identify inadequate drainage impacting produce quality Flooding control and patterns images by Gates Notes

10 Connecting farms with FarmBeats* & IoT Edge Computing Respond in near-real time Responding immediately See & Spray or course correct without delay to/from cloud Operate offline or with intermittent connectivity Operating reliably with spotty cloud connection. Syncing device state even when machine is offline Reduce IoT solution costs Minimizing bandwidth consumption. Sending only what s needed to the cloud for analysis/training, White Space Unlicensed, long-range and low-cost TV White Space radios connect sensors and capture data SOIL SENSORS Solar-powered soil sensors gather moisture, soil chemistry, and temperature data Deploy AI and analytics to the edge IoT Edge allows you to deploy complex event processing, machine learning, image recognition, and other high-value artificial intelligence without writing it in-house. Security and management Connecting legacy or low power devices or equipment and keeping it up to date and secure Sensor/Image fusion Machine learning (ML) algorithms integrate sensor data with aerial imagery and crop predictions HEAT MAP Algorithms process data to create a detailed heat-map of the field Talk track

11 Fueling the Agriculture Decision Engine AI based Advisory Connected Farms Connected Food Safety Mixed Reality & Predictions

12 Connected Product Farm to Table Less food waste and loss Product provenance and brand value Compliance and audits Food safety and recalls Sustainability tracking Innovation through analytics nge

13 Bühler is ensuring food safety with Blockchain Challenge A lack of connectivity, transparency, and traceability in the food supply chain caused food waste, inefficiencies, and risk of contaminated crops. Solution Buhler and Microsoft developed a blockchain strategy using multilayer QR code labels to track grain and ensure it s handled according to regulations. Augmented physical machines with an AI-enabled insights platform work to ensure all grains processed are toxin-free. Benefits Digitally verify that all grains are handled compliantly as they move through the supply chain, providing transparency to each counterparty through a shared ledger Assess any contamination and alert all parties in realtime to avoid a public safety issue. We re not only going to get economic results, but hopefully we can transform and save lives at the same time. It s the most exciting and valuable project I ve worked on in my 40 years with the company. It s a really big thing. Ben Deefholts Senior research engineer, Bühler

14 Fueling the Agriculture Decision Engine AI based Advisory Connected Farms Connected Food Safety Mixed Reality & Predictions

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16 Simulation and Prediction Scenario One: High Yields, Average ROI Scenario Two: Average Yield, High ROI

17 Thank you! Questions? Claudia Roessler ( ) Director Agriculture Industry Microsoft Corporation