Wednesday, December 11, 2013

No. 816: Big data for precise prediction to increase vegetable yield (December 11, 2013)

NTTData and the Japan Research Institute jointly developed a service to predict the picking season and yield of vegetables. The new service calculates such basic information as kinds of crops and date of planting besides weather information. Predictions based on the analysis of these big data will be offered to farming corporations. Currently, there are data services that analyze soil component and amount of solar radiation to increase crop yields. Combined with the currently available these services, the new service that predicts the picking season and yield amount will help increase the profitability of each farmer greatly. The new service will be marketed by JSOL Corp. jointly established by these two companies on a 50:50 basis.

User input various data, such as kinds of crops, development status of pests, and work records, every day to calculate how much crop can be expected in what farmland. In the experiment that used 10 years’ data of a farming corporation, the new service successfully predicted the picking season and yield with 90% precision one month before the cross season. JSOL plans to offer the crop prediction for free to 13,500 farming corporations across the country and increase the number of users to collect a large amount of data for the improvement of prediction. It also plans to market data for prediction to financial institutions for credit control of loans for farmers besides developing derivatives and insurance products.   

      A robot to harvest spinach developed by

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