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

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Forestry and Agriculture Panel Session

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 Systems EO4Culitvar 6 Jonathan Sumner Earth-i ACCORD 7 All Panel Q&A Time: 10.30 – 11.45 Chair: Jon Styles, Assimila Organiser: Athene Gadsby, UKSA Room: Lower Floor

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PRISE – Pest Risk Information SErvice

Eyes on the PRISE: Assisting smallholder farmers lose less of what they grow Jon Styles Assimila Funding Source: IPP

Implementation partners: National partners:

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< Project Overview Film >

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PRISE: Impact

By enabling farmers to reduce crop losses from pest

• utbreaks in the target countries, the project will:
• Contribute to reduction in hunger
• Increase food security
• Increase farmer income

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How do we do it?

New PRISE release each year

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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

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Challenges

• Capacity: Model development,

testing and roll out

• Expectation management:

positive press, understanding limits

• Validation: matching model
• utput to local data
• Business model: balancing

donor, govt & commercial funding

Crop Insect pest Country Maize Spotted stem borer Zam, Ken Chilo partellus African stalk borer Zam, Gha, Ken Buseola fusca Fall armyworm Zam, Gha, Ken Spodoptera frugiperda Maize Streak Virus Zam, Gha, Ken Mastrevirus Tomato Tomato leafminer Zam, Gha, Ken Tuta absoluta White fly Zam, Gha, Ken Bemisia tabaci Bollworm Zam, Gha, Ken Helicoperva armigera Western Flower Thrip Zam, Gha, Ken Frankliniella occidentalis Bean Leafminers Zam, Ken Liriomyza spp Bean fly Zam, Ken Ophiomyia phaseoli Cocoa Cocoa mirid Gha Sahlbergella singularis Brassicae Diamond Back Moth Zam, Gha, Ken Plutella xylostella

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Next steps

• Country expansion
• Malawi, Rwanda
• Colombia
• Global potential
• Crop/model expansion
• Business development
• Partnership options

We wish to acknowledge the support of our funders and partners who make PRISE possible.

Thank you

Core donor:

Ministry of Agriculture, People’s Republic of China

CABI is an international intergovernmental organisation, and we gratefully acknowledge the core financial support from our member countries (and lead agencies) including:

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Côte d’Ivoire and Perú tools for land and forest management

Robin Smale Director Vivid Economics Funding Source: IPP with RSAC

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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

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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

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Benefits: land title as the basis for economic security and growth

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Benefits: low cost, fast and accurate detection of illegal activity

Before After enforcement

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What were the benefits and challenges?

Worst case scenario Best case scenario The mechanism of system creation and transfer is fast and high quality 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

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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

• n third party platforms

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Treemetrics Overview

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Satellite applications use

SATCOM GNSS EARTH OBS

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TreeTops

• Mr. Enda Keane

Treemetrics UK Ltd Funding Source: ESA Business Apps

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TreeTops Project Overview

Using high resolution satellite imagery and drone imagery to count and grade trees Precision Forestry ‘Single Tree Forestry’

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Satellite applications integration

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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

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Lessson’s learnt: Find the business model

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What are the next steps?

TreeTops service launched in September 2019 Launched with reference customers UK and US Equity investment in mid 2019

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EcoProMIS – Ecological Production Management Information System

Roelof Kramer, CEO Agricompas Ltd Funding Source: IPP2 EcoProMIS – Sustainable oil palm and rice production in Colombia

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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

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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

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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

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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)

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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

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Project Overview

Establish a Partnership Develop new knowledge Transfer the knowledge Change working practices Improved agricultural practices

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Which satellite applications were used?

Analysis ready data Ready to use products External data: Satellite EO, Drone data, met data, GIS/landscape data, ground truth data Sentinel 1 and 2 data

Sentinel-1 12 day repeat Sentinel-2 5 day repeat

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Agri-track metrics

Benefits

• Agronomy and production insight
• Scalable and timely business intelligence

Production and agronomy

• Crop health
• Growth stage
• In-field variability
• Estimated harvest timing
• Remote agronomy support for in-season monitoring
• Production/yield: track and compare crop performance between fields in near real time

Business intelligence

• Supply chain oversight and performance analysis
• Aggregation to provide tracking of crop production metrics over wide areas
• Crop distribution maps
• Tracking losses, gains and new land coming into production
• Prospecting / siting new operations

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What are the next steps?

• EO4cultivar runs 2016 – 2020
• Agri-track metrics as a data service is being developed
• Commercial development underway, including pricing,

distribution, marketing

• Explore transferability and scaling, including;
• New crops
• Sectors
• Countries

Thank you steve.keyworth@envsys.co.uk @envsystems

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Project Title - ACCORD

Speaker: Jonathan Sumner – ACCORD Product Owner Business Development Director, Earth-i Company: Earth-i Funding Source: IPP - UKSA Project Name: ACCORD (Advanced Coffee Crop Optimisation for Rural Development)

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Project Overview

Project Aims ACCORD will deliver software and data science solutions designed to improve the management of coffee crops and practices enabling farmers to respond effectively and quickly to environmental risks including pests and disease, and mitigate the effects of climate change. Using satellite data and advanced climate data science, the ACCORD consortium aims to improve coffee crop yields, coffee bean quality and consequently farmer incomes. This is done through the use of automated SMS alerts directly to the farmers and supporting agronomists, delivering accurate, localised weather forecasts and advice on the application of agricultural inputs. The ACCORD Consortium

• Earth-i – (Project Lead)
• WeatherSafe
• CMS (Coffee Management Services)
• Kinini Coffee Ltd
• San Francisco Bay Coffee
• Oxford Policy Management

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Which satellite applications were used?

Satellite Data WeatherSafe have developed a dynamic software platform and mobile application that uses precise and localised weather forecasts, along with optical satellite data and climate science analytics to provide coffee farmers and agronomists in both Kenya and Rwanda with accurate localised weather-forecasting and advice to improve their crop yield and quality. ACCORD enhances the use of space data to tackle the issues currently faced by such coffee farmers. Using a mix of medium and very high resolution EO data from the RapidEye, DMC3 and KOMPSAT satellite constellations, ACCORD uses a regular feed of satellite imagery to map each plantation and each individual field and, using NDVI analysis, provide monitoring and insights on crop health. The variation in field sizes and their irregularity, means EO imagery is particularly suited to the task of mapping and monitoring these fields.

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What were the benefits and challenges?

Project Benefits

Three major benefits leading to improved sustainability of coffee as a cash crop for smallholder farmers: a) Significantly improve coffee crop yields through more precise crop management practices b) Improve the quality of the coffee cherries so that our farmers take advantage of global demand for high quality and premium coffees c) Increase farmer incomes through the combination of higher yields and better quality

Challenges Faced

• 1. Communication: Project partners situated in different countries – communication and coordination can be a challenge.
• Regular meetings, calls and stakeholder engagement has ensured partners are updated regularly and challenges are quickly addressed.
• 2. Cloud Cover: Rwanda and Kenya face regular cloud cover – challenge during image acquisition.
• Regular re-visits from multiple satellite constellations allows us to mitigate these affects and achieve good coverage and data acquisition.
• 3. Availability of Agricultural ‘Inputs’: Availability of fertilisers, fungicides and pesticides is very influential on outcomes

but not within the control of the farmers.

• Consortium aims to meet with NAEB – a Rwandan government agency who issue such inputs to cooperatives and farmers, and proactive

initiatives with partner CMS for farmers in Kenya.

• 4. Language of SMS alerts: Variety of local languages, limitations of written English within our target farmer community –

challenges in making farmer communications effective.

• Platform enables agronomists to customise and translate SMS messages to their farmers.

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What are the next steps?

Project Next Steps Platform & Advisory Service: Platform is now live and agronomists have been trained in Rwanda. Advisory SMS alerts rolling out to agronomists and farmers in Rwanda, with Kenya to follow in March, to impact the 2019 harvests. (20,357 fields mapped against target of 12,500) Satellite Data: VHR data from DMC3 and KompSat satellites is currently being evaluated to test for the added benefits of very high resolution. Results to be finalised in March. Stakeholder Engagement: Earth-i will continue to facilitate regular stakeholder engagement strategies, including monthly review meetings and weekly calls with key project partners, and roll-out a range of educational and marketing materials through the Knowledge Sharing Plan and new ACCORD website. Outreach to key stakeholders in the East Africa in Feb at the African Fine Coffees Association conference. Monitoring Data: Collecting monitoring data to analyse progress towards against the project’s KPI’s. Short Term Project Goals

• Continued roll out and proof of technology in the field.
• Achievement of the project’s first year goals.
• Education of the coffee industry as to ACCORD’s value and potential.
• Exploration of new market opportunities and early stage research of further derived products.

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Forestry and Agriculture Q&A

Order Speaker name Company Project Title 1 Andy Shaw Chair Terreflexion 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 Systems EO4Culitvar 6 Jonathan Sumner Earth-i ACCORD 7 All Panel Q&A

QUESTIONS PLEASE!