Sustainability Performance Assessment SPA at Farm level Smart

Sustainability Performance Assessment (SPA) at Farm level Smart Agrimatics - Paris, June 14, 2012 Emeline Fellus - Deputy Manager, SAI Platform

What is SAI Platform ? (1/2) • A Platform created in 2002 by the food industry to communicate and to actively support the development of sustainable agriculture for the mainstream, involving stakeholders of the food chain. • Founders were Nestle, Unilever, Danone. • Work on a pre competitive basis. 2

What is SAI Platform ? (2/2) • Today we have 40 members: - 30 food companies - 10 affiliates. • We coordinate 6 Working Groups: - 5 crop specific (beef, coffee, fruit, dairy, arable & vegetable crops) - 1 WG on water& agriculture • Wide variety of parallel activities such as R&D, developing training for food executives etc 3

SAI Platform Members AFFILIATE MEMBERS

Definition Sustainable agriculture is a productive, competitive and efficient way to produce safe agricultural products, while at the same time protecting and improving the natural environment and social/economic conditions of local communities. 5

Some sustainability issues Many challenges and opportunities for farmers, society & the food sector Non-food use (fuels) Volatile Ag. Prices Overgrazing Climate Change Natural Resources Growing Demand for Food Land Degradation Soil conservation Ecosystemservices & Biodiversity New technologies GMOs Improving Yields Rural Livelihood Ensured Supply Reduced Extension Services Water Scarcity 6

Good Practices 7 7

How to measure progress? Indicators Metrics Relation to Farm Practices Scientifically sound Tools, like CFT, Simpatica, Keystone, RISE, climate yardstick Qualitative or strictly quantitative? Many Experts & groups work on this Purpose, objective, scope? 8

SPA Phase 1 Benchmarked and rated existing farm metrics to help a farmer measure, understand, improve and report progress. 1. Started from our list of Principles and Practices 2. Looked for already available metrics (Not to reinvent wheel) 3. Benchmarked over 100 of them 4. Selected best ones: simple, scientifically sound, readily available@farm, measurable, comparable. 9

Example Table 1: Overview of quantified sustainability indicators Theme Indicator Data derived from Pesticides kg active ingredients used/kg of product Yield data and kg pesticides applied score (points) (active ingredients per ha related calculator/yardstick (e. g. Keystone calculator or CLM pesticide to toxicity, exposure, date of application) yardstick) Water use score: irrigation efficiency index (crop water use measured on farm, compared to evapotranspiration / volume of applied water measured or from statistics per ha) score: water use efficiency index (crop yield per water use and yield measured on farm ha / volume of applied water per ha) Energy use % share of renewable energy used Waste energy use data (fuel and electricity) energy use/kg of product energy use data (fuel and electricity) % of product utilization: area harvested/area yield and production data planted % of reclaimed byproducts: tonnes of materials measured waste streams on farm used for recycling, composting or animal feed / tons of harvested product % total waste/kg product measured waste streams on farm

SPA Phase 2 Benchmarked and rated existing sustainability measurement tools. 1. Benchmarked over 100 of existing tools – some very specific (eg GHG emissions) and some very comprehensive 2. Selected best ones: complete but simple, scientifically sound, providing user-friendly feedback to farmer, comparable. 11

Example SPA Phase Two Example of tools: RISE 12

SPA Phase 3 (1) Selection of methodologies (To. R) for computer-based tools measuring sustainable agriculture SPA 3 – priority issues included 1. 2. 3. 4. 5. 6. 7. 8. Climate & energy Water quantity Nutrient efficiency Soil quality Biodiversity Pesticides Waste Land use SPA 3 – priority issues to be developed later on 1. 2. 3. Animal welfare Occupational health and safety Financial stability 13

SPA Phase 3 (2) For each priority issue: • Separate chapter (3 - 7 pages) • Summarizing flowchart • Contents: • • • Farm data (entered by farmer) Background data needed (regional databases) Methodology (calculations, boundaries etc) Output indicator and units Rationale behind choices made 14

SPA Phase 3 (3) Farm data • Data entered by farmer Background data • Data from (regional) databases • Calculation rules • Boundaries • Etc. Indicator • Output and unit • Sustainability concern Issue Methodology 15

Example: land use Farm data • Production (milk/meat) and/or yield (crop) in tonnes/farm or tonnes/ha • Feed used as input (tonnes) • Yield of feed used • Feed composition • Country of origin of feed Background data • Feed: composition • Feed: share of countries of origin • Feed: country-specific yields • Feed: dry matter content Indicator • For crops: Inverse of yield • For animal feed: Inverse of yield of ingredients • Land used for crop production in m 2 per kg of production • Land used for off-farm fodder in m 2 per kg of production • Land use Issue Methodology 16

Milestones and next steps 1. 2. 3. 4. 5. 6. SPA Phase One published in 2010 SPA Phase Two published in 2011 SPA Phase Three Version 1. 0 published early May 2012 Piloting phase in 2012 -2013 Review and additions mid 2013 SPA Phase Three Version 2. 0 in 2014 17

Thank you for your attention! For more information: http: /www. saiplatform. org efellus@saiplatform. org 18