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Neuton Use Cases for Neural Network and Machine Learning

Prediction of yield
Challenge:
As the world population increases each year and land becomes more expensive, people need to find more efficient ways to farm, using less land to produce more crops, meanwhile boosting the productivity and yield.
Solution:
With the help of AI, farmers can now analyze a variety of variables in real time such as weather conditions, temperature, water usage or soil conditions collected from their farm to better inform their decisions. For example, AI technologies help farmers optimize planning to generate more bountiful yields by determining crop choices, the best hybrid seed choices and resource utilization.
Why Neuton:
There are a lot of factors that influence harvest, yet very little historical data, so traditional neural networks do not work. Neuton allows farmers to develop an accurate model to maximize crop based on a small training dataset. Predictions can also be used by crop managers to minimize losses when unfavorable conditions occur.