| Budget Amount *help |
¥4,030,000 (Direct Cost: ¥3,100,000、Indirect Cost: ¥930,000)
Fiscal Year 2018: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2017: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2016: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
|
|---|
| Outline of Final Research Achievements |
In this research, we developed the automatic extraction of the numerical information such as fruit shape information by using deep learning with collected field images from monitoring systems. We developed a monorail typed mobile field monitoring system to reconstruct 3D data of the field and to extract plant height numerical information. We also developed a deep learning training technology to automatically extract the positions and their shape information of fruits from a field monitoring image. Although deep learning generally requires a lot of time and effort to collect training data, our technology significantly reduces the time and effort by automatically generating annotated artificial field images.
|
