Combined RGB and Depth Images to Detect Crop Rows for Sanshin Green Onion
碩士 === 國立宜蘭大學 === 生物機電工程學系碩士班 === 106 === Ilan Shansin green onion is an important economic crop in Ilan. Because the weather of Ilan is wet and rainy, most crops are grown by ridge and furrow farming. Sanshin green onion’s cultivation and management is very labor-intensive and time-consuming. There...
Main Authors: | Kang, Wen-Yao, 康文耀 |
---|---|
Other Authors: | Ou-Yang, Feng |
Format: | Others |
Language: | zh-TW |
Published: |
2018
|
Online Access: | http://ndltd.ncl.edu.tw/handle/dy9y8h |
Similar Items
-
Making the Local Specialty – An Analysis on the cultural circuit of Yilan’s Sanshin Green Onion
by: Chin-Hsiang Kuo, et al.
Published: (2011) -
The analysis of Sanshin green onion industry with the perspective of the Actor-network theory in Yilan plain
by: Yu-Han Lin, et al.
Published: (2013) -
Combining RGB and Depth Images for Robust Object Detection using Convolutional Neural Networks
by: Thörnberg, Jesper
Published: (2015) -
Subsurface structure of the Sanshin geothermal well site in Ilan by using the seismic exploration method
by: Wang, Yin-Kai, et al.
Published: (2014) -
Evaluation of Vineyard Cropping Systems Using On-Board RGB-Depth Perception
by: Hugo Moreno, et al.
Published: (2020-12-01)