A study on environmental factors affecting strawberry yield using pattern recognition techniques
We investigate the importance of environmental growth factors that have a strong influence on strawberry yield grown in facility farms using dynamic time warping, one of the pattern recognition techniques. From the results of analyzing the observed dataset using the dynamic time warping, we found that the theca diameter and leaf width have great influences on the strawberry production. In addition, we notice that the initial productivities of the first to second flowering cluster determine the qualities of strawberry. We suggest that farmers keep strawberries with the theca diameter through 1.99~2.42 cm, and the plant length of 29.67~32.80 cm until the strawberry production of the second flowering cluster. In addition, we found that the environmental factors, such as inside humidity, illumination amount and inside temperature affect these growth factors. Also, the most significant environmental factor influencing the strawberry production was the inside humidity and the inside temperature. Therefore, in order to maintain high-productivity of strawberry, it is necessary to prevent water shortage constantly. It is a proper data-driven cultivation technique for managing environmental growth factors to develop the productivities and qualities of strawberry.
Na, M.H., Jeon, W.B., Cho, Y., Lee, H.-R., Park, Y., Cho, W.H. and Kim, D.-H. (2019). A study on environmental factors affecting strawberry yield using pattern recognition techniques. Acta Hortic. 1265, 271-280
strawberry production, environmental factors, growth factors, graphic analysis method, dynamic time warping, data-driven cultivation techniques