Big Data in Digital Agriculture
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Transcript of Big Data in Digital Agriculture
Big Data in Digital Agriculture:Satellite data and Farmer Information
Jyothy Nagol
Molly E Brown
University of Maryland College Park
Disruptive Technologies
• Satellite remote has potential to transform agricultural productivity and sustainability.– Design targeted interventions, services, and
management strategies
• Combined with farmer data, it can help estimate, local to continental scale:– Cropped area, and yield – Yield potential/gap– Climate, and nutrient stresses on yield
Disruptive Technologies
• The remote sensing technology is not new– Available since the late 60s
• During the last decade it has emerged from mostly governmental use to the commercial and individual domains
• The technology is becoming democratized – Open access/ affordable satellite data – Affordable drone technology
Annual Crop Maps• Knowing how cropped area is changing is critical for
accurate understanding of food security and prices
• Food production α cropped area
Changes in Maize cropped area in Zambia
In-Season Yield Monitoring
• Determine how weather conditions will affect the ultimate yield of a crop in a particular place/time.
- Remote sensing data- Weather, climate, soil data- Crop growth stage models- Machine learning algorithms - Yield outcomes over a range scenarios
- Management and climate scenarios.
• Determine of whether yields can recover potential levels in the remaining season.
Sowing and Harvest• Identifying the date at which a farmer
planted is a critical input to yield monitoring
• Delay in the start of season can have significant impact on yield – yield losses of up to one percent per day of delay
after the optimum planting date can be experienced.
• Remote sensing information can be used to make maps of start and end of the season for yield monitoring
Farm Management is the Key• Each farmer has a different
management strategy and resource s at their disposal
• Different crop varieties, use of fertilizer, soil inputs, herbicides, pesticides and other products will affect yield
• Knowing what the farmer is doing will transform our ability to use high resolution satellite and UAV data
Farmer information can significantly improve the utility of Satellite Data
• Digital Agriculture combines multi-source data with machine learning and biogeochemical models to support decision making for individual farmers, agribusiness, and also policy makers.
• This can be done through– Engaging with agriculture industry to increase farmer services:
• seeds, crop inputs, equipment– Reducing risk through lower cost insurance:
• Aggregating farmers into similar risk categories– Delivering of data through mobile devices:
• Weather, agronomy, ag products, and market access
How to get Farm Management info?• Surveying the farmer – Digital registries
– Accurate, but needs to be updated periodically– High cost, but provides contact information and high
level of precision across the landscape
• Sampling the farmer strategy using farmer participation and big data analytics.
• Using very high resolution data (Satellites/UAVs) to identify farms, then surveying farmers to determine management
Very High Resolution Data from UAVs
• UAVs are becoming more and more affordable and useful.• Farmers are turning out to be it’s biggest civilian users.• It has truly democratized remote sensing.
UAVs • UAVs compliment both satellite based remote
sensing data as well as farmer information. – Helps link the two levels
• Multi-temporal spectral and textural patterns (signatures) can be used to determine crop parameters in a specific field
• Higher resolution can achieve clear identification of crop type, crop condition and field boundaries that 10m data cannot
UAVs within an Agriculture Info System
• Many affordable online services are available to help data processing
Delivering Value• To improve productivity, digital agriculture must change farmer
behavior through information and education
• Engaging with farmers through social media, farmer cooperatives, and mobile devices holds promise, with rising mobile connectivity
GSMAThe mobile industryIn Latin America, 2014
2013 data
Countries have between40 – 60% of the populationwith connections to the Mobile network.
Digital Agriculture• To better understand how farmers can improve
yields, we need to have big data for small farmers• Small family farms occupy a large share of the
world's agricultural land and produce about 80% of the world's food
• Generating high quality information on area cropped, yield estimates, farm management, and delivering knowledge to farmers directly will transform agriculture