How leading agriculture and food companies better predict supply and demand with Earth Observation

Food and beverage companies depend on raw ingredients like corn, wheat, barley, coffee, sugarcane, oilseeds, apples and many others. Yet, food crops are a finite resource, their yields dependent on environmental factors like consistent temperature and soil moisture. Additionally, human factors like supply-chain issues, disease outbreaks, political instability and war are extremely disruptive to food…

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Helping Food and Beverage Manufacturer Take Control Over Supply and Demand

A global refiner and processor in the food and beverage industry minimizes financial risk by proactively adjusting sourcing and pricing strategies. Earth observation data from EarthDaily Agro equips growers, producers and processors with the intelligence to help make more informed, confident business decisions. Food and beverage manufacturers source crops worldwide—corn, wheat, barley, coffee, sugarcane, oilseeds,…

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Weather Analytics Help Brazilian Insurer Reduce Daily Risk in Agriculture

Geospatial analytics helps Brazilian insurer take proactive steps to reduce the cost of claims with timely weather monitoring, forecasts and alerts. Protecting farmers from the risks of flood, drought, frost and other weather- and climate-related conditions can create financial risk for insurers—for example, when farmers in Brazil submit increased claims due to crop failure caused…

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US Virtual Crop Tour

Our team of crop analysts constantly monitor the world’s major growing regions. To understand what’s happening on the ground, we look to the sky by using scientific-grade satellite data to power industry-leading analytics. This virtual crop tour is for the purpose to check the current conditions in the Corn Belt area in the US and…

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Reducing Financial Risk for a Global Insurance Leader

The <geosys/> dataset provides the insurer the information needed to analyze weather and climate conditions and make informed decisions for writing policies and responding to claims. Millions of hectares across Brazil—approximately a third of the country’s land area—are devoted to agriculture. In particular, corn and soybean production has increased signicantly in recent years due to…

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Powered by Earth Observation, Ag Lenders Deploy Next-Generation Credit Risk Evaluation and Monitoring to Drive New Business Opportunities

Sustainably feeding the world takes vast amounts of capital — for raising crops, for transporting them around the world, for seeing farmers through commodity price volatility, and that’s just for starters. This is why agricultural lenders are such a vital — if largely unseen — part of the agrifood supply chain. Increasingly, though, ag lenders…

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Reducing Insurance Risk With Proactive Action Powered by Earth Observation

A leading French agricultural insurer harnesses powerful weather and climate data from EarthDaily Agro to better predict risk and establish policy, enabling the company to respond proactively and ultimately support its bottom line. Insurance by nature can be a reactive business, which often creates challenges for insurers as it exposes them to risk. A leading…

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Major Brazilian Bank Harnesses Data to Efficiently Manage Rural Credit Accounts

Remote satellite imaging and analytics gives bankers advanced tools for monitoring crops throughout the growing season, helping to validate rural credit and comply with government audit regulations. As one of the largest agricultural producers in the world, Brazil supports its farmers through a vast rural credit program—in 2018 the amount available to farmers was US$57…

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Powering Fast-Paced, Proactive Decision-Making For Ag Trader

An agricultural commodity trader relies on EarthDaily Agro’s <geosys/> platform—satellite imaging, geospatial analytics and expert service—to monitor and forecast global crop production, take strategic action and stay ahead of the competition. Trading in global agricultural commodities such as corn, soybeans, coffee and cotton can be a high-risk activity, potentially exposing traders to big losses. Market…

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