Predicting Crops – From Brazil to Thailand
Agriculture is one of the oldest means of food production. It has been a vital part of human civilization since time began. Historically it was impossible to tell if it would rain later that day, let alone predict the weather in advance. All…
Predicting Crops and Crop Yields
Predicting crops and crop yields has been tried for centuries. A hundred years ago regression models were used. Now satellite data, combined with machine learning, is used to predict crops. It's only very recently becoming accurate Contents Importance of Predicting CropsPredicting Crops – Regression...
Commodities: Solutions to Predicting Crop Yields
Commodities: Crop Predictions Challenges The challenges of predicting crop yields are significant, as outlined in the previous article. Traditionally these challenges result in low accuracy rates - below 50%, for certain crops. This article will look at how the accuracy rate can be increased to...
Commodities: Challenges of Predicting Crop Yields
Predicting the yield of crops for a farm, country, or even a region is both important and challenging – in terms of the data required and the levels of analytics involved. Historically many crop predictions have been little more than 30% accurate. Fortunately, the accuracy...
Open Grain Storage: Measuring Commodoties
Understanding and predicting commodity supply requires a wide variety of data points and an understanding of what is stored and where. Using satellite data it is possible to calculate the yield of crops, location and storage volume of commodities (e.g grain, sugar, wheat) and even...