Forestry and Agriculture Panel Session Time: 10.30 11.45 Chair: Jon - PowerPoint PPT Presentation

Forestry and Agriculture Panel Session Time: 10.30 – 11.45 Chair: Jon Styles, Assimila Organiser: Athene Gadsby, UKSA Room: Lower Floor Order Speaker name Company Project Title 1 Jon Styles Assimila PRISE 2 Robin Smale Vivid Economics Land Use Interventions and Deforestation Prevention 3 Enda Keane TreeMetrics TreeTops 4 Roelof Kramer AgriCompass EcoProMIS 5 Steve Keyworth Environment EO4Culitvar Systems 6 Jonathan Sumner Earth-i ACCORD 7 All Panel Q&A @space spacego govuk vuk #S #SANE1 ANE19

PRISE – Pest Risk Information SErvice Implementation partners: Eyes on the PRISE: Assisting smallholder farmers lose less of what they grow Jon Styles Assimila National partners: Funding Source: IPP @space spacego govuk vuk #S #SANE1 ANE19

< Project Overview Film > @space spacego govuk vuk #S #SANE1 ANE19

PRISE: Impact By enabling farmers to reduce crop losses from pest outbreaks in the target countries, the project will: • Contribute to reduction in hunger • Increase food security • Increase farmer income @space spacego govuk vuk #S #SANE1 ANE19

How do we do it? New PRISE release each year @space spacego govuk vuk #S #SANE1 ANE19

Dissemination: Pest Forecast Chatbot • User: Plantwise plant doctors and agricultural extension officers • Delivery channel: Chatbot in Telegram messaging programme • Content: Weekly forecasts of pest development (lifestage) for each of the key pests prioritised by in-country partners, downscaled to their district @space spacego govuk vuk #S #SANE1 ANE19

Challenges Crop Insect pest Country Spotted stem borer Zam, Ken • Capacity: Model development, Chilo partellus African stalk borer Zam, Gha, Ken testing and roll out Buseola fusca Maize Fall armyworm Zam, Gha, Ken Spodoptera frugiperda • Expectation management: Maize Streak Virus Zam, Gha, Ken Mastrevirus positive press, understanding Tomato leafminer Zam, Gha, Ken Tuta absoluta limits White fly Zam, Gha, Ken Bemisia tabaci Tomato • Validation: matching model Bollworm Zam, Gha, Ken Helicoperva armigera output to local data Western Flower Thrip Zam, Gha, Ken Frankliniella occidentalis Leafminers Zam, Ken • Business model: balancing Liriomyza spp Bean Bean fly Zam, Ken donor, govt & commercial Ophiomyia phaseoli Cocoa mirid funding Cocoa Gha Sahlbergella singularis Diamond Back Moth Brassicae Zam, Gha, Ken @space spacego govuk vuk #S #SANE1 ANE19 Plutella xylostella

Next steps • Country expansion • Malawi, Rwanda • Colombia • Global potential • Crop/model expansion • Business development • Partnership options @space spacego govuk vuk #S #SANE1 ANE19

Thank you We wish to acknowledge the support of our funders and partners who make PRISE possible. Core donor: CABI is an international intergovernmental organisation, and we gratefully acknowledge the core financial support from our member countries (and lead agencies) including: Ministry of Agriculture, People’s Republic of China

Côte d’Ivoire and Perú tools for land and forest management Robin Smale with Director RSAC Vivid Economics Funding Source: IPP @space spacego govuk vuk #S #SANE1 ANE19

Project Overview Côte d’Ivoire Forest monitoring system which government has adopted and runs itself Land use inventory and future inventory scenarios Short-term operational prioritisation using risk prediction Economic accounts for long-term planning In Perú The above plus… Maps for land title of small farms Basis of payments for ecosystem services @space spacego govuk vuk #S #SANE1 ANE19

Which satellite applications were used? Sentinel 1 radar Sentinel 2 optical SPOT for training dataset Google Earth Engine Spatial statistical analysis: risk index Agent model: long-term land use change scenarios Amazon Web Server @space spacego govuk vuk #S #SANE1 ANE19

Benefits: land title as the basis for economic security and growth @space spacego govuk vuk #S #SANE1 ANE19

Benefits: low cost, fast and accurate detection of illegal activity Before After enforcement @space spacego govuk vuk #S #SANE1 ANE19

What were the benefits and challenges? The mechanism of system creation and transfer is fast and high quality Worst case scenario Best case scenario Governments can quickly: implement law on contingent land titles make forest protection service more effective develop long term plans and strategies Investment in relationships is essential to success Governments want to develop access to technology @space spacego govuk vuk #S #SANE1 ANE19

What are the next steps? We want to extend the coverage in both countries We want to extend across Francophone West Africa We want to deepen the use of these tools in government, industry and NGOs We are creating another version of the technology for urban greenspace management, initially in the UK We want to link the work to the financing of forest protection and reforestation We want to create new high value economic content which can be scaled and carried on third party platforms @space spacego govuk vuk #S #SANE1 ANE19

Treemetrics Overview @space spacego govuk vuk #S #SANE1 ANE19

Satellite applications use SATCOM GNSS EARTH OBS @space spacego govuk vuk #S #SANE1 ANE19

TreeTops Mr. Enda Keane Treemetrics UK Ltd Funding Source: ESA Business Apps @space spacego govuk vuk #S #SANE1 ANE19

TreeTops Project Overview Using high resolution satellite imagery and drone imagery to count and grade trees Precision Forestry ‘Single Tree Forestry’ @space spacego govuk vuk #S #SANE1 ANE19

Satellite applications integration @space spacego govuk vuk #S #SANE1 ANE19

What were the benefits and challenges? Space technology is more affordable & accessible to many industries Applications Driven Clear Benefits: efficiencies, cost reduction, increased profits and greater sustainability @space spacego govuk vuk #S #SANE1 ANE19

Lessson’s learnt: Find the business model @space spacego govuk vuk #S #SANE1 ANE19

What are the next steps? TreeTops service launched in September 2019 Launched with reference customers UK and US Equity investment in mid 2019 @space spacego govuk vuk #S #SANE1 ANE19

EcoProMIS – Ecological Production Management Information System Roelof Kramer, CEO Agricompas Ltd Funding Source: IPP2 EcoProMIS – Sustainable oil palm and rice production in Colombia @space spacego govuk vuk #S #SANE1 ANE19

Project Overview • Create a data analytics platform that processes detailed crop data into knowledge for growers and commercial decision support for stakeholders • Sustainable agriculture requires balance between crop productivity and profitability, environmental impact and socio-economic benefits • Partners : CIAT, Fedearroz, Cenipalma, Solidaridad, Rothamsted, Pixalytics and Agricompas @space spacego govuk vuk #S #SANE1 ANE19

Satellite applications and other data technologies • Sentinels 1, 2 and 5 • UAV’s: Octocopters and fixed wing V -TOL • Weather stations • EC flux systems for CO2 and CH4 • Handheld LAI devices • Crop sampling • Interviews, questionnaires Advantages of Space: Scale, cost, timing, multiple applications @space spacego govuk vuk #S #SANE1 ANE19

Benefits and challenges Outcomes: Project ongoing till April 2021 but equipment installed, people appointed and data being collected. 8 Decision support modules Benefits: • Integrate multiple disciplines in a comprehensive solution • Combine data collection, processing and business model • Exploit different skills and expertise on a large scale Lessons learnt/challenges: • IP and exploitation / consortium agreement • Equipment procurement and hiring HR • Leadership consortium and project governance @space spacego govuk vuk #S #SANE1 ANE19

The next steps EcoProMIS IPP2: Five data collection periods, create the data processing architecture and develop the business model with knowledge and decision support services IUK project: Digitising cacao production in Colombia Microsoft growth accelerator : AI for good / AI for Earth Company funding: Seed funding round ongoing Business development : EcoProMIS expansion (Other crops, services and geographies) @space spacego govuk vuk #S #SANE1 ANE19

EO4cultivar Steve Keyworth CGeog FRGS Environment Systems Funding Source: IPP EO4cultivar Delivering satellite analytics to the Latin American agricultural supply chain and farmer advisory services @space spacego govuk vuk #S #SANE1 ANE19

Project Overview Improved agricultural Change practices working practices Transfer the knowledge Develop new knowledge Establish a Partnership @space spacego govuk vuk #S #SANE1 ANE19

Which satellite applications were used? External data: Satellite EO, Drone data, met data, Analysis ready data Ready to use products GIS/landscape data, ground truth data Sentinel 1 and 2 data Sentinel-1 Sentinel-2 12 day repeat 5 day repeat @space spacego govuk vuk #S #SANE1 ANE19