Results 1 to 10 of about 402,690 (217)

Estimation of potato above-ground biomass based on unmanned aerial vehicle red-green-blue images with different texture features and crop height [PDF]

Frontiers in Plant Science, 2022
Obtaining crop above-ground biomass (AGB) information quickly and accurately is beneficial to farmland production management and the optimization of planting patterns.
Yang Liu, Yang Liu, Yang Liu, Haikuan Feng, Haikuan Feng, Jibo Yue, Xiuliang Jin, Zhenhai Li, Guijun Yang   +8 more
doaj   +4 more sources

Automatic Rice Crop Height Measurement Using a Field Server and Digital Image Processing [PDF]

Sensors, 2014
Rice crop height is an important agronomic trait linked to plant type and yield potential. This research developed an automatic image processing technique to detect rice crop height based on images taken by a digital camera attached to a field server ...
Tanakorn Sritarapipat, Preesan Rakwatin, Teerasit Kasetkasem   +2 more
doaj   +4 more sources

CBM: An IoT Enabled LiDAR Sensor for In-Field Crop Height and Biomass Measurements. [PDF]

Biosensors (Basel), 2021
Phenotypic characterization of crop genotypes is an essential yet challenging aspect of crop management and agriculture research. Digital sensing technologies are rapidly advancing plant phenotyping and speeding-up crop breeding outcomes. However, off-the-shelf sensors might not be fully applicable and suitable for agriculture research due to diversity
Banerjee BP, Spangenberg G, Kant S.
europepmc   +8 more sources

Crop height determination with UAS point clouds [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2014
The accurate determination of the height of agricultural crops helps to predict yield, biomass etc. These relationships are of great importance not only for crop production but also in grassland management, because the available biomass and food quality ...
G. J. Grenzdörffer
doaj   +4 more sources

Precision estimation of winter wheat crop height and above-ground biomass using unmanned aerial vehicle imagery and oblique photoghraphy point cloud data [PDF]

Frontiers in Plant Science
IntroductionCrop height and above-ground biomass (AGB) serve as crucial indicators for monitoring crop growth and estimating grain yield. Timely and accurate acquisition of wheat crop height and AGB data is paramount for guiding agricultural production ...
Yafeng Li, Yafeng Li, Changchun Li, Qian Cheng, Li Chen, Zongpeng Li, Weiguang Zhai, Weiguang Zhai, Bohan Mao, Zhen Chen   +9 more
doaj   +2 more sources

Improving Crop Lodging Resistance by Adjusting Plant Height and Stem Strength [PDF]

Agronomy, 2021
Crop height not only determines plant resistance to lodging and crowding, but also affects crop architecture, apical dominance, biomass, and mechanical harvesting.
Yanan Niu, Tianxiao Chen, Chenchen Zhao, Meixue Zhou   +3 more
doaj   +2 more sources

Monitoring Corn Crop Height and Growth Rate With Interferometric Coherence

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Future radar Earth observation missions, with reduced revisit times, will offer the capability to obtain valuable data applicable to agriculture and meteorology.
Mireia Mas, Antoni Broquetas, Xavier Fabregas, Albert Aguasca, Jordi Llop, Jinglong Liu, Jordi J. Mallorqui Franquet, Arturo Villarroya-Carpio, Juan M. Lopez-Sanchez   +8 more
doaj   +5 more sources

Improving Biomass and Grain Yield Prediction of Wheat Genotypes on Sodic Soil Using Integrated High-Resolution Multispectral, Hyperspectral, 3D Point Cloud, and Machine Learning Techniques

Remote Sensing, 2021
Sodic soils adversely affect crop production over extensive areas of rain-fed cropping worldwide, with particularly large areas in Australia. Crop phenotyping may assist in identifying cultivars tolerant to soil sodicity. However, studies to identify the
Malini Roy Choudhury, Sumanta Das, Jack Christopher, Armando Apan, Scott Chapman, Neal W. Menzies, Yash P. Dang   +6 more
doaj   +1 more source

A Study on Leveraging Unmanned Aerial Vehicle Collaborative Driving and Aerial Photography Systems to Improve the Accuracy of Crop Phenotyping

Remote Sensing, 2023
Unmanned aerial vehicle (UAV)-based aerial images have enabled a prediction of various factors that affect crop growth. However, the single UAV system leaves much to be desired; the time lag between images affects the accuracy of crop information, lowers
Kangbeen Lee, Xiongzhe Han
doaj   +1 more source

Comparison of UAS-Based Structure-from-Motion and LiDAR for Structural Characterization of Short Broadacre Crops

Remote Sensing, 2021
The use of small unmanned aerial system (UAS)-based structure-from-motion (SfM; photogrammetry) and LiDAR point clouds has been widely discussed in the remote sensing community.
Fei Zhang, Amirhossein Hassanzadeh, Julie Kikkert, Sarah Jane Pethybridge, Jan van Aardt   +4 more
doaj   +1 more source