Stereo-vision-based crop height estimation for agricultural robots

Estimation of plant height using a high throughput phenotyping platform based on unmanned aerial vehicle and self-calibration: Example for sorghum breeding

(2018) Pengcheng Hu et al.   EUROPEAN JOURNAL OF AGRONOMY

Prioritization of pesticides in crops with a semi-quantitative risk ranking method for Taiwan postmarket monitoring program

(2018) Wei-Chun Chou et al.   JOURNAL OF FOOD AND DRUG ANALYSIS

Disparity map computation of tree using stereo vision system and effects of canopy shapes and foliage density

(2018) Ayoub Jafari Malekabadi et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

The connected-component labeling problem: A review of state-of-the-art algorithms

(2017) Lifeng He et al.   PATTERN RECOGNITION

Using depth cameras to extract structural parameters to assess the growth state and yield of cauliflower crops

(2016) Dionisio Andújar et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

High throughput phenotyping of cotton plant height using depth images under field conditions

(2016) Yu Jiang et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

In-field crop row phenotyping from 3D modeling performed using Structure from Motion

(2015) Sylvain Jay et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

A LIDAR-based crop height measurement system for Miscanthus giganteus

(2012) Lei Zhang et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Visual attention: The past 25 years

(2011) Marisa Carrasco   VISION RESEARCH

Monitoring and Evaluation of a Light-pipe System used in Korea

(2010) Geun Young Yun et al.   INDOOR AND BUILT ENVIRONMENT

Evaluation of Stereo Matching Costs on Images with Radiometric Differences

(2008) H. Hirschmuller et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE