Estimation of Moisture Stress for Soybean Using Thermal Image Sensor Mounted on UAV

2021 ◽  
Vol 3 (3) ◽  
Author(s):  
Byoung-Doo Kang ◽  
Kye-Hoon Jeon ◽  
Dongwuk Kyoung ◽  
Seuing-Hun Kim ◽  
Jung-Hoon Hwang

2011 ◽  
Vol 267 ◽  
pp. 867-872
Author(s):  
Xiu Wei Zhang ◽  
Yan Ning Zhang ◽  
Jing Zhao

Multi-sensor registration is an important and basic problem of intelligent surveillance. A novel visual-thermal image sequence registration method based on motion statistics feature multi-resolution analysis is proposed. In this method, motion statistics feature is utilized to select corresponding point pairs from visual-thermal synchronous video sequence. Then, multi-resolution analysis of motion statistic feature is done to choose proper scale. Finally, outliners are removed by RANSAC, and the geometry transformation parameters are optimized by LM algorithm. By using motion statistics feature, this method avoids the difficult problem of extracting invariant feature from two different image sensor and doesn’t depend on precise motion detection. Through multi-resolution analysis, the proposed approach can resolve the registration under the change of large scale. The performance was demonstrated on three groups of dataset, the results showed that our algorithm carried out precise image registration under the change of translation, scale and rotation.


Author(s):  
Sin-Han Yang ◽  
Li Su ◽  
I-Chun Huang ◽  
Chueh Ting ◽  
Ching-Kuang C. Tzuang
Keyword(s):  

2020 ◽  
Vol 82 ◽  
pp. 199-209
Author(s):  
Mike B. Dodd ◽  
Katherine N. Tozer ◽  
Iris Vogeler ◽  
Rose Greenfield ◽  
David R. Stevens ◽  
...  

The improvement in forage quality and quantity of summer-dry hill country pasture resulting from the introduction of clover is well recognised. However, ensuring the persistence of the commonly availablecultivars is challenging, in the face of seasonal moisture stress, intensive grazing, competition from established well-adapted pasture species, low soil fertility and low soil pH – conditions typical of the East Coast of the North Island. Here we quantify the value proposition associated with the introduction of white clover into a case study on a Gisborne sheep and beef farm, using a six-step process. A topographically explicit approach is taken, using an understanding of the underlying spatial variability, based on a combination of soil and pasture measurements, APSIM simulation modelling of pasture growth and farm system modelling of enterprise performance. We show that from a baseline of a typical low-fertility, diverse species hill country pasture, white clover introduction can increase spring and summer forage consumption by 17%, enabling inclusion of an additional 6-month bull finishing enterprise generating a 32% greater carcass weight production and leading to a 49% improvement in farm system EBIT. This represents a positive net present value of over $360,000 for the original investment in white clover establishment into existing pastures.


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