Recently, Huawei and Pagoda reached a cooperation agreement committed to integrate the upstream and downstream fruit industry chain and promote industry standardization through innovative technologies, in order to ensure the high eating quality of produce.
Digital growing and standardization of quality
Fruit is a non-standardized product greatly affected by temperature and light. A sudden drop in temperature or the encounter of rainy days would greatly affect the taste of the product. This is especially true to strawberries. Take Nanjing Golden Manor, a company with 5,200 mu of strawberry greenhouses, as an example. In order to ensure that every strawberry sent from them to Pagoda stores across China is of high eating quality, it is insufficient to rely on traditional growing techniques to support high-standard, high-quality, and efficient supply.
The strawberry growing center installed a small weather station in its lab greenhouse. Through a series of IoT devices such as soil sensors and cameras, it helped the technicians manage the temperature and humidity of the greenhouse and create a suitable growing environment. The IoT devices synchronously collect various types of data during the strawberry life cycle and upload them to the cloud for data analysis, making it possible to establish standards.
The AI models of pests and diseases trained on ModelArts, the one-stop AI development platform of Huawei Cloud, are available through the Yunyan APP to answer growers’ questions. By identifying the pest or disease through images and recommending plant protection methods, it reduces the workload of technicians and increases the number of greenhouses managed per technician, guarantees quality, and increases income.
Data uploaded to the cloud and can be traced throughout
After the strawberries are ripe, growers send the morning harvest to the center. The fruit can only be weighed and sent to the processing plant if the size, sweetness, and firmness pass the inspection. Each basket has its own identification number, and the inspection data is directly uploaded to the cloud, saving manual recording and inspection and allowing traceability. From production to packaging and transportation, the cloud and AI technologies will bring improvements in efficiency and safety assurance to the industry.
Big data precision marketing and zero inventory in Pagoda stores
Precise forecasting of demand is also a major pain point in the fruit industry. Fruits have a short shelf life, and understanding the demand is the key to the profitability for Pagoda stores. Applying big data to comprehensively analyze historical sales data, weather, and other factors, combined with the experience of local shop assistants and supervisors, the stores can accurately determine the required volume that not only meets the needs of nearby residents but also leads to low or even zero inventory. Reduced fruit waste will bring better benefits to consumers, sellers, and growers.