Accuracy Assessment of Tomato Harvest Working Time Predictions from Panoramic Cultivation Images
The scale of horticultural facilities in Japan is expanding, making the efficient management of labor costs essential, particularly in large-scale tomato production. This study developed a consistent and practical system for predicting harvest working time and estimating the quantity and weight of h...
Saved in:
Main Authors: | Hiroki Naito, Tomohiko Ota, Kota Shimomoto, Fumiki Hosoi, Tokihiro Fukatsu |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2024-12-01
|
Series: | Agriculture |
Subjects: | |
Online Access: | https://www.mdpi.com/2077-0472/14/12/2257 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
TomatoPoseNet: An Efficient Keypoint-Based 6D Pose Estimation Model for Non-Destructive Tomato Harvesting
by: Jipeng Ni, et al.
Published: (2024-12-01) -
Characterization of Fungi Inducing Post-Harvest Deterioration and the Factors Predisposing Tomato Fruits to Fungal Induced Spoilage in Zaria, Nigeria
by: OLUKEMI Dayok, et al.
Published: (2024-06-01) -
Classification of Coconut Trees Within Plantations from UAV Images Using Deep Learning with Faster R-CNN and Mask R-CNN
by: Morakot Worachairungreung, et al.
Published: (2024-12-01) -
Structural Parameter Optimization of a Tomato Robotic Harvesting Arm: Considering Collision-Free Operation Requirements
by: Chuanlang Peng, et al.
Published: (2024-11-01) -
An automatic and unsupervised image mask acquisition method based on generative adversarial networks
by: Hao Wu, et al.
Published: (2024-12-01)