BerryDroid™ can help users monitor the ripening of fruits in real time. Combined with plant models and weather forecasts, it can accurately estimate the amount of ripening within a week, and help users arrange corresponding management work in a timely manner.
BerryDroid™ determines current crop performance based on historical data and plant models, and makes automatic recommendations for improvements such as changing accumulated temperature or light to increase plant performance.
Easily view forecast and historical yields within the BerryDroid™ platform.
Growers can review their harvest management to see if they are managing the harvest properly and to anticipate upcoming harvest peaks by using this tool. When there is a large discrepancy between expected and actual yields, this indicates that there is a problem with harvest management in the field and that harvesting efficiency may need to be improved or else there will be an increase in the amount of defective fruit.
BerryDroid™ can predict yields and help you reach more reliable delivery and price agreements with your buyers.
BerryDroid™helps agricultural players better manage their businesses through data collection image capture > data storage machine learning.
Agricultural companies/growers: yield forecasting
Financial companies/crop insurance providers: risk management, risk reporting
Retailers: better retail transactions