Prediction of Greenhouse Strawberry Production Using Machine Learning Algorithm

Abstract

Strawberry is a stand-out cultivating fruit in Korea. The optimum production of strawberry is highly dependent on growing environment. Smart farm technology, and automatic monitoring and control system maintain a favorable environment for strawberry growth in greenhouses, as well as play an important role to improve production. Moreover, physiological parameters of strawberry plant and it is surrounding environment may allow to give an idea on production of strawberry. Therefore, this study intends to build a machine learning model to predict strawberry's yield, cultivated in greenhouse. The environmental parameter like as temperature, humidity and CO 2 and physiological parameters such as length of leaves, number of flowers and fruits and chlorophyll content of 'Seolhyang' (widely growing strawberry cultivar in Korea) were collected from three strawberry greenhouses located in Sacheon of Gyeongsangnam-do during the period of 2019-2020. A predictive model, Lasso regression was designed and validated through 5-fold cross-validation. The current study found that performance of the Lasso regression model is good to predict the number of flowers and fruits, when the MAPE value are 0.511 and 0.488, respectively during the model validation. Overall, the present study demonstrates that using AI based regression model may be convenient for farms and agricultural companies to predict yield of crops with fewer input attributes.

Smart Greenhouse Design for Strawberry Cultivation in Pandanrejo, Batu City

“…In addition, the physiological parameters of strawberry plants also determine the amount of strawberry production. Modeling of plant physiological parameters and environmental conditioning of plants using machine learning can be used to predict the increase in strawberry production (Kim, 2022). Observations on the growth of strawberry plants in each plot at week 6 showed that flower buds had appeared and were ready to start bearing fruit.…”