作物编码：数据在促进可持续农业贸易和负责任的供应链中的作用|世界自然基金会报告

The role of data in fosteringsustainable agricultural trade andresponsible supply chains Crops to Code: The role of data in fosteringsustainable agricultural trade andresponsible supply chains International trade underpins the global economy, fostering job creation,economic growth, and diverse goods and services. Embracing efficient,data-driven, and sustainable international trade will be crucial to combatbiodiversity loss, address population growth, and tackle the climate crisis.As such, striving for sustainable international trade is not an opportunity,but an imperative. The development of digital trade and trade data technologies enablespolicymakers to think beyond traditional customs processes and develop anenvironmentally-friendly system of international trade. The UK Governmentis already developing policies to utilise trade data. However, to address thepressing issue of a broken food system that is detrimental to our planet,policymakers must fully embrace the possibilities offered by today’s technology.Trade data technologies can be a driving force in shifting trade towardsregenerative and sustainable forms of agriculture. In this briefing, we highlight several of the more important technologies andtheir applications to showcase the developing data and technology landscapethat provides policymakers an opportunity to rethink conventional customsprocedures and shape a more sustainable trade system. Customer journey Distribution toend consumer Production Shippingand customs Processingand packaging Produce is collected andprocessed into a refinedproduct. This is thenpackaged and marketedto be sold or distributedto a buyer. Goods are shippedinternationally andundergo stringentborder checks. Goods are distributedto their final selleror user. Goods are grownor sourcedby farmers. Innovation Technologies enableefficient tracking of aproduct’s journey fromfarm to consumer,fostering transparencyand optimisationin distribution.This reduces theenvironmental impactand administrativeburden in trade andregulatory compliance. Cloud-based solutionsas well as DistributedLedger Technologies(DLT) can streamlinetrade by pre-screeninggoods and flagging at-risk goods even beforeinspection. The integration oftechnology enhancesprecision, qualitycontrol, and workersafety. Innovationsfor packaging furtherreduce environmentalimpact and QR codesprovide traceability forconsumers. Technology helpsfarmers make efficientdecisions, therebysaving time andresources. It alsoimproves supplychain visibility andhelps determine thesustainable value of aproduct. Case studies Dun & Bradstreet AB InBev & Fujitsu Tô No Mapa Stuart A B2B last-mile deliveryplatform, minimisesemissions by enhancingrouting efficiencythrough advanceddispatcher technologyand the integration of low-emission vehicles. Clientscan also specificallyrequest low-emissionvehicle deliveries – anoption that, with thehelp of technology,could be adopted on aninternational scale. The Tô No Mapamobile app in Brazilempowers localproducers by allowingthem to map theirproduction territories,enhancing supplychain transparencythrough real-time datasubmissionto the cloud andpromoting sustainabilityverification. Dun & Bradstreet utiliseshipping data points toprovide traceability andtransparency, allowingthe mapping of agri-food supply chains.This helps supply chainactors categorise riskand identify areas ofconcern before and aftergoods enterthe UK. AB InBev, in partnershipwith Fujitsu,implemented a QRcode project. Using ablockchain trackingplatform that connected80 farmers to amalthouse in Belgium,enhanced supply chainvisibility, optimisedoperations, and providedfull transparencyfor consumers. Production Advances in the use of connected devices orInternet of Things (e.g. drones, smart sensors,RFID) as well as geospatial technology (e.g. remotesensing, Lidar, GPS, Geographic Information System)deliver precise real-time data on land use, crophealth and environmental conditions. This enablesclose monitoring of deforestation and agriculturalpractices while optimising the use of water, fertilisers,and pesticides. Decision Support Systems (DSS) have been utilisedin India to provide cotton producers, through theCotton Doc mobile app, with information about soilhealth, weather conditions and market prices, enablingprecision agriculture and yielding improvementpredictions while conserving precious resources andreducing waste. Smarter, data-driven decision-makingnot only delivers economic advantages for the farmerbut also environmental benefits for the planet. These technologies, combined with access to mobilephones, mean smallholder producers are able tocontribute to a more transparent and traceable supplychain. By utilising mobile applications (apps), theycan efficiently record and share crucial data points,including production methods, environmental impact,and transportation details. Inaccurate or incomplete data hinders supply chainvisibility of a product’s orig