Articles
Optimization of cultural practices by quantifying photosynthesis and fruit load in strawberry forcing culture with the support of ICT and AI
Article number
1465_42
Pages
273 – 278
Language
English
Abstract
Strawberry is one of the most widely consumed fruits in Japan.
Most strawberries are produced in forcing culture, which means they are transplanted in September and harvested from December to May.
Strawberries are produced in the fall and winter when solar radiation is relatively low, resulting in a heavy fruit load.
As a result, yields show significant variability among growers, greenhouses, and years.
Accordingly, the objective of this study is to develop a technique for quantifying fruit load and incorporating this data into cultural practices.
A simulation model was developed to estimate photosynthesis from solar radiation and leaf area, and fruit load from the number of flowers and fruits.
The amount of intercepted light was calculated by image analysis of the plant canopy and multiplied by the light use efficiency (LUE, g-DW MJ‑1) to obtain the amount of photosynthesis.
The changes in dry weight from flowering to harvest were expressed as a function of accumulated temperature.
A significant number of images of the strawberry canopy, including flowers and fruits, were taken and the fruits were tagged according to colour grade.
These images were then used as training data for the image recognition model.
The number of flowers and the number of fruits per grade in the canopy were obtained using a smartphone or smart glasses equipped with the image recognition model.
The increase in dry weight of flowers or fruits was calculated based on the accumulated temperature and then summed up as the fruit load in the plant canopy.
The resulting data were plotted on a graph to show the relationship between photosynthesis and fruit load.
Most strawberries are produced in forcing culture, which means they are transplanted in September and harvested from December to May.
Strawberries are produced in the fall and winter when solar radiation is relatively low, resulting in a heavy fruit load.
As a result, yields show significant variability among growers, greenhouses, and years.
Accordingly, the objective of this study is to develop a technique for quantifying fruit load and incorporating this data into cultural practices.
A simulation model was developed to estimate photosynthesis from solar radiation and leaf area, and fruit load from the number of flowers and fruits.
The amount of intercepted light was calculated by image analysis of the plant canopy and multiplied by the light use efficiency (LUE, g-DW MJ‑1) to obtain the amount of photosynthesis.
The changes in dry weight from flowering to harvest were expressed as a function of accumulated temperature.
A significant number of images of the strawberry canopy, including flowers and fruits, were taken and the fruits were tagged according to colour grade.
These images were then used as training data for the image recognition model.
The number of flowers and the number of fruits per grade in the canopy were obtained using a smartphone or smart glasses equipped with the image recognition model.
The increase in dry weight of flowers or fruits was calculated based on the accumulated temperature and then summed up as the fruit load in the plant canopy.
The resulting data were plotted on a graph to show the relationship between photosynthesis and fruit load.
Publication
Authors
Y. Iwasaki, T. Kondo, T. Miyazaki, S. Miyauchi
Keywords
dry matter production, light use efficiency, YOLOX, cumulative temperature
Groups involved
- Division Vine and Berry Fruits
- Working Group Strawberry Culture and Management
- Division Sustaining Horticulture in a Changing World
- Division Horticulture for Human Health
- Division Plant Genetic Resources, Breeding and Biotechnology
- Division Greenhouse and Indoor Production Horticulture
- Division Precision Horticulture and Engineering
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