eROSA Stakeholder WS1: Data-driven innovation in the Ag sector
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Presentation by Graham Mullier delivered at the 1st eROSA Stakeholder Workshop in Montpellier, 6/7/2017
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eROSA Stakeholder WS1: Data-driven innovation in the Ag sector
- 1. Graham Mullier, Head Data Sciences, R&D IS, Syngenta eRosa stakeholder meeting, Montpellier, 6th July 2017 Data-driven innovation in the Ag sector
- 2. 2 How can we use data to help feed 9 billion people? Classification: public More arable land is needed More water is needed More human labor is needed Weeding a one hectare farm takes 200 hours of labor By 2050 four billion people will live in countries with water scarcity We lose a soccer field of farmland every second Classification: public
- 3. 3 How can data help? Let’s go digital! ● There are some huge challenges facing us, and the ag sector needs to play a strong part in addressing them. ● It’s a bit like a locked room challenge ● we have to use the data we can find to get out Classification: PUBLIC
- 4. 4 Data – the key to the whole thing ● As a sector - Without data we’ve got nothing and we’re going nowhere - Without the right context and translations, the data are meaningless - Without connections linking data to problems, we’ll get no value ● Digital transformations – all about broadening the ecosystem and reaching out to create wider collaboration - Digital operations – efficiency – better outcomes - Digital experience – ease of use, tapping into the emotions - Digital innovations – continuous improvement, breakthrough, edge - Digital ecosystems – platforms, partnerships – scale ● How can industry hope to do this without a shared data ecosystem? Classification: PUBLIC
- 5. 5 Bringing new products to market is increasingly challenging Discovery is getting tougher Source: USDA, Economic Research Service, Analysis of data from the EPA Pesticide Product Information System Source: USDA, Economic Research Service, using data from PhillipsMcDougall (2010). the Cost of new Agrochemical Discovery, Development and Registartion in 1995,2000 and 2005- 8, Consultancy Study for Crop Life Americs Costs are increasing Syngenta has come to believe that collaboration isn’t a luxury, it’s a necessity… because the challenge before us is unprecedented in magnitude and in complexity. Classification: PUBLIC
- 6. 6 What can history teach us about working together? Industrial revolution – infrastructure – standards ● Canals – standard boats and locks: - Boats – 7 feet wide, 70 feet long (2.1m x 21m) - Canals built to similar scale, especially locks • The standard for the dimensions of narrow canal locks was set by Brindley with his first canal locks, those on the Trent and Mersey Canal in 1776. These locks were 72 feet 7 inches (22.12 m) long by 7 feet 6 inches (2.29 m) wide. • The narrow width was perhaps set by the fact that he was only able to build Harecastle Tunnel to accommodate 7 feet (2.1 m) wide boats. • His next locks were wider. He built locks 72 feet 7 inches (22.12 m) long by 15 feet (4.6 m) wide when he extended the Bridgewater Canal to Runcorn, where the canal's only locks lowered boats to the River Mersey. Classification: PUBLIC
- 7. 7 Industrial revolution – infrastructure – railways! Classification: PUBLIC
- 8. 8 Learning from history - Connected systems, not silos ● De facto standards ruled ● Connectivity and infrastructure work driven by need and value ● What worked wasn’t always what was ‘best’ (cf Brunel, wide gauge) ● So we need - Common standards that support interchange - Connected systems - Easy passage of data and services – can we manage frictionless? ● We have to beware the endless academic exercise to create a perfect ‘something’ ● Borrow from the ‘think global, act local’ slogan – think long-term, act now. Classification: PUBLIC
- 9. 9 Linked Open Data is growing Classification: INTERNAL USE ONLY 200720082014Today
- 10. 10 A Data Ecosystem : In a decentralized Future Classification: PUBLIC
- 11. 11 More health Less poverty More biodiversity Less degradation More food Less waste The Good Growth Plan is measuring Syngenta’s contribution to global food security Make crops more efficient Increase average productivity of the world’s major crops by 20% without using more land, water or inputs Rescue more farmland Improve the fertility of 10 million hectares of farmland on the brink of degradation Look after every worker Strive for fair labor conditions throughout our entire supply chain network Empower smallholders Reach 20 million smallholders and enable them to increase productivity by 50% Help biodiversity flourish Enhance biodiversity on 5 million hectares of farmland Help people stay safe Train 20 million farm workers on labor safety, especially in developing countries By 2020, Classification: public
- 12. 12 More Open Data From Syngenta www.rna-data.syngenta.com RNAi Pond Mesocosm http://www.environmentdata.org/archive/syngds:10 Outdoor pond microcosm studies were conducted as part of regulatory environmental safety submissions, investigating effects of chemicals on communities of freshwater organisms. Classification: PUBLIC
- 13. 13 Making Open data work ● What's in it for me? - Improves data quality - Reuse meta-data - Repeatable efficiencies - Increases transparency - Influences standards - Increases trust and raises profile - Enables ecosystems and creates opportunities But where do we draw the line? Classification: PUBLIC
- 14. 14 ● Examples might help - Working on weeds in SE Asia - Identifying diseases - Running a data hackathon ● Much easier if we have shared data standards, shared vocabularies, a shared model of the data which we want to work on together ● In industry we’re looking for partners, collaborations, innovation - Open data - Open models - Open innovation Data ecosystem – where next?
- 16. 16 Let’s make it easy to work together ● So we can tackle the grand challenges ● Come up with great solutions ● And… help her feed a hungry planet Classification: INTERNAL USE ONLY
- 17. 17
Editor's Notes
- Deck three key messages: -The challenge enormous -Future is uncertain -We need to make each new learning count decentralised -We have to work together
- As I am sure you are all acutely aware agriculture is under immense pressure. For a rapidly growing population we need to grow more food using increasingly scarce resources. Every day, the world’s population increases by 200,000 people. We need to produce more food in the next 50 years than in the past 10,000 By 2050 out of a predicted global population of 9 billion, four billion people will live in countries with water scarcity. Rural labour is shrinking. Every day, 180'000 people leave rural communities and head for the cities. Soil erosion and urbanization are reducing available farmland. Every second we lose an area about the size of a soccer field. Climate change is taking us into uncharted territory that will force us into new patterns of food production we have little time to prepair for Consumers are also demanding that food be grown in a sustainable way. So for every hectare of land already under cultivation will need to make it produce to its fullest potential whilst protecting the planet’s biodiversity.
- In the decades prior to 1990, most output growth came about from intensification of input use (i.e., using more labor, capital, and material inputs per acre of agricultural land). Bringing new land into agriculture production and extending irrigation to existing agricultural land were also important sources of growth. TFP – Not raw inputs but stuff we don’t measure growth due to technology, increase in efficiency farming practice. Climate change Productivity gains through R&D with fewer inputs Learning/change & technology traditionally one season at a time Left less CP discoveries higher costs Much more money spend on development than research Traditionally a long cycle, limited opportunity to test environments and efficacy Flying seeds between continents TFP – Not raw inputs but stuff we don’t measure growth due to technology, increase in efficiency farming practice. Productivity gains through R&D with fewer inputs
- Slide xxxx - A Data Ecosystem : In a decentralized Future The world of innovation becoming more decentralised as each day passes. The internet for example has changed the way we learn, work, collaborate and consume in ways few would have imagined 20 years ago. This very event we are attending is a testament to such change. You are I am sure all well aware of massive growth of data all around us fuelled by new technologies; Drones on farms, precision agriculture equipment, high resolution satellite data, social media, internet of things devices to name a few. These new data and new technologies are fuled by and in turn fuel a myriad of new industry sectors and start-ups. Data and knowledge is becoming democratised and is disrupting the status quo of traditional centralized institutions who control access to the data services that growers need. Emerging from this data ecosystem is a place where centralised control of the market is not possible. This place is open data xxx To harness the power of this ecosystem we have to interact and work with it in a different way, a way that calls for co-operation between agents in the ecosystem, to ensure that all the data, operations and components are findable, accessible, interoperable and reusable (FAIR). It is not possible or indeed ethical for a single organisation or country to dictate how this interoperability will be achieved. What’s needed to meet our shared global challenge is the Pre-competitive co-operation of all players globally. Indeed eaven within the speed of change even within large organisations poses similar changes, we don’t know what we know.
- The Syngenta answer Syngenta has launched The Good Growth Plan with six important commitments on which the company is taking actions to address major food security and sustainability challenges by 2020. The Good Growth Plan is Syngenta's commitment to help growers rise to the challenges the world is facing in a sustainable way. The plan's overall mission is to improve the sustainability of agriculture and of our business. It ensures that we focus our business on understanding and meeting our customers' and stakeholders' most pressing needs. We focus on six crucial issues shaping the future sustainability of agriculture, so that we can deliver solutions that are better, more productive, and more beneficial to rural economies. To measure it’s contributing to the food security challenge, we’ve made six public commitments around resource efficiency, soil and biodiversity conservation practices, and rural proposerity including smallholders. Targets were set for each commitment and reporting systems were put in place. Link to sustainable development goals. The program was launched in 2013, we collected the first set of data in 2014 and published the results in spring 2015 and the second set in Spring 2016. We’ve established a global network of farms where technology adoption and efficiency performance are monitored each year by an independent company. We’ve selected almost 3700 farms more than 42 countries for 23 crops. Many of these farms are smallholders in developing countries, where the producitivity gap is largest. The biggest number of farms we have in Africa. While we use this to track progress on reaching our commitments, this data is very valuable to tell us what is working to save resources and improve yields. We have an abundance of data and for us to make sense of it all would take years. So we decided to publish it and share it. There was an engaging reaction following the GGP open data announcement by Syngenta’s CEO in April 2015. The GGP progamme had positive approaches from a range of NGOs, Research Institutes and government bodies, such as USDA, FAO, Wageningen, Rothamsted.
- In 2016, we became the first agrochemical company to share RNA-based biocontrol research as open data. One of our most exciting development areas is RNA-based biocontrols. It’s a new technology that could bring significant benefits to farmers and the environment. But it’s still in its early stages: rapid progress will depend on stimulating informed dialogue with scientists and researchers. To help make that happen, in 2016 we became the first agrochemical company to share RNA-based biocontrol research as open data. The datasets we’ve published include screening data for our lead biocontrols candidate covering both pests and beneficial species. We’re committed to being transparent as this technology develops Our Good Growth Plan is generating unprecedented amounts of agronomic and socio-economic data, primarily from our network of over 3,700 benchmark and reference farms in 42 countries. We’ve collaborated with The Open Data Institute, a non-profit organization, to put this information into the public domain in a way that’s easy to access and understand, is safe to reuse and protects individual farmers’ privacy. In this way, we aim to extend our cooperation with partners and universities in exploring the drivers and impacts of technology adoption, resource efficiency, sustainable practices and grower livelihoods. Publishing the data also gives us a chance to improve our metrics and data collection processes with external partners and stakeholders.
- Risks and rewards Technology is helping to monitor and measure more things, and generates huge amounts of data that can be used to accelerate technological progress. For instance, our R&D teams doubled the efficiency of our soybean breeding program by using satellite imagery, soil and weather datasets released to the public under open data licenses. Open data is a public good. So shouldn’t we be sharing more of our own in return? We think so. KM’s what's in it for us as an industry if you collaborate its not just about freeloading (consuming) creates value of collaborating benefits of being open Operating in a data ecosystem calls for frameworks and patterns of behaviors and worksing that ensure that organizations and funders can operate with their own interstes at heart, yet guarantee that their procyt, data and servces are able to work and play nicley with everyione elses. How do we start? How do we get pre competitive co-operation working amongst the large number of interested parties that exist in this eco-system? It is a classic social dilemma. How do we encourage groups and organizations to contribute, and not just sit back and “free ride”. Well the good news is that there are great examples from history (ancient and modern) that show this cam work. The web for example it a framework that has catapulted the internet from being just a curious set of connected academic computers to a world changing phenomenon and changing life on earth. This continues to the next technology wave of the internet of things. But more prosaic examples, which we often overlook are things like agreed meta-data. Simple things like units of measure, which we take for granted are all examples of meta-data which have been agreed upon in a pre-competetive way, to ensure that peer interaction with scientific literature is effective. Just by being part of the those pre-competetive communities we can get business benefit and impact. In Syngenta regardless of the societal benefits of publishing open data, we get an immediate benefit by applying those open data publishing approaches internally because it gives us great prescribed approaches to data publishing, which enhance published data quality and also give repeatable publishing patterns GGP is one example of a small external collaboration around a quite specific technical approach to publishing data. But the business impact is quite significant. Producing open data publishing patterns which can be reused leads to operating efficiencies. And repeatable processes such as this helps with establishing levels of data quality. This creates pull, as demonstrated by the engagement with the RNAi teams which gives transparency platform which stories can be told from. The published data has allowed Syngenta to be drawn into the GODAN project and engage with a range of influential partners, such as governmental agencies, NGOs and MNCs. Where next with open data in Syngenta? So far, we’ve made some significant strides in increasing openness and transparency. But as a competitive, private R&D company, where do we draw the line about what data to make public? And how do we decide? The fact is, we’re still finding out – and we welcome continuing debate.
- The French agronomic research institution INRA (Institut national de la recherche agronomique), WUR (Wageningen University and Research Centre), Agroknow & FAO (Food and Agriculture Organisation) are working together to create a 10 year roadmap to build a shared scientific data infrastructure for agriculture. Syngenta is involved in meta-data collaborations with a number of these partners. This provides Syngenta with an opportunity to shape the future of meta-data in agricultural so that we may speak a common data language in agriculture. This will increase efficiency in the industry, save our analysts and researchers valuable time and prevent us from reinventing the wheel yet again. A recent step in this journey was made at the 2016 GODAN summit in in Ney York. The summit was attended by 800 people form 45 countries. At the summit in her keynote speech Syngenta’s Head of External Affairs Sarah Hull said that “openness and sharing isn’t just a good thing.. [but that].. it’s absolutely fundamental and necessary”. At the summit the Open Data Institute, GODAN and Syngenta presented and discussed the joint white paper ‘A Global Data Ecosystem for Agriculture ’. The paper is a powerful tool for people to use in engaging with policy makers and open data champions around the world. Whilst the paper doesn’t have all the answers is does break down the problem and clarifies the important questions. The paper summarizes the Data ecosystem in three main chunks: Data Sourcing and Handling Sharing Frameworks Collaboration Frameworks Data Sourcing and Handling For the Data Consumer the importance of data provenance & trusted sources, data maintenance, availability, findability For the Data Provider the importance of data licensing, security, quality issues resolution, size, speed, and data structure and data vs metadata Sharing Frameworks Open Data Certificates The 5 star open data plan and the principles of FAIR data: Data that is Findable, Accessible, Interoperable, and Re-useable Collaboration Frameworks Systems of governance, controlled vocabularies e.g. Global Agriculture Concept Scheme, social networks of data (and metadata), technologies such as Git (and github), blockchain (distributed databases). The paper is freely available and I would encourage you all to read it and the responses to it form the industry.
- In a world where population growth threatens to outstrip food production, our ambition is to make a meaningful contribution to food security. This calls for increased investment in agricultural R&D and knowledge transfer to the farm. The challenge is unprecedented in magnitude and complexity: our chalange won’t be met if everyone works in isolation. Collaboration is a necessity. We believe that open data in agriculture is key to increaseing the speed of the innovation process. Open data and colaberative silutions will help drive innovation in agriculture and anable growers to make the right decisions based on what works in their situation. We’re partnering with governments, universities, NGOs and other businesses – to share our knowledge in new ways. We hope you will join us. Thank you