Crop 3D—a LiDAR based platform for 3D high-throughput crop phenotyping

Q Guo, F Wu, S Pang, X Zhao, L Chen, J Liu… - Science China Life …, 2018 - Springer
With the growing population and the reducing arable land, breeding has been considered
as an effective way to solve the food crisis. As an important part in breeding, high-throughput …

Radiometric correction of terrestrial LiDAR point cloud data for individual maize plant detection

B Höfle - IEEE Geoscience and Remote Sensing Letters, 2013 - ieeexplore.ieee.org
Detailed geoinformation on in-field variations of plant properties (eg, density, height) is
required in precision agriculture and serves as a valuable input for plant growth models and …

Comparative classification analysis of post-harvest growth detection from terrestrial LiDAR point clouds in precision agriculture

K Koenig, B Höfle, M Hämmerle, T Jarmer… - ISPRS Journal of …, 2015 - Elsevier
In precision agriculture, detailed geoinformation on plant and soil properties plays an
important role, eg, in crop protection or the application of fertilizers. This paper presents a …

Improve 3D laser scanner measurements accuracy using a FFBP neural network with Widrow-Hoff weight/bias learning function

JC Rodríguez-Quiñonez, O Sergiyenko… - Opto-Electronics …, 2014 - Springer
Many laser scanners depend on their mechanical construction to guarantee their
measurements accuracy, however, the current computational technologies allow us to …

[PDF][PDF] Crop 3D——基于激光雷达技术的作物高通量三维表型测量平台

郭庆华, 吴芳芳, 庞树鑫, 赵晓倩, 陈琳海… - 中国科学: 生命 …, 2016 - researchgate.net
摘要作物表型测量技术发展的滞后已成为当前育种领域的发展瓶颈, 高通量的精确表型测量有助
于加速育种进程. 激光雷达是一种新兴的主动遥感技术, 能够精确获取作物的空间形态数据 …

Completing 3D Point Clouds of Thin Corn Leaves for Phenotyping Using 3D Gridding Convolutional Neural Networks

Y Zhang, W Su, W Tao, Z Li, X Huang, Z Zhang… - Remote Sensing, 2023 - mdpi.com
Estimating the complete 3D points of crop plants from incomplete points is vital for
phenotyping and smart agriculture management. Compared with the completion of regular …

Crop Row Detection in the Middle and Late Periods of Maize under Sheltering Based on Solid State LiDAR

S Zhang, Q Ma, S Cheng, D An, Z Yang, B Ma, Y Yang - Agriculture, 2022 - mdpi.com
As the basic link of autonomous navigation in agriculture, crop row detection is vital to
achieve accurate detection of crop rows for autonomous navigation. Machine vision …

Estimacion de biomasa aerea de forrajes de invierno bajo riego a traves de un dron.

C Botello Aguillón, C Botello Aguillón - 2018 - colposdigital.colpos.mx
Existe escasa información sobre el uso de cámaras digitales acopladas a drones para
cuantificar biomasa de forrajes, a pesar de que esta tecnología podría disminuir tiempo y …

Development and evaluation of unmanned aerial vehicles for high throughput phenotyping of field-based wheat trials.

F Holman - 2020 - repository.rothamsted.ac.uk
Growing demands for increased global yields are driving researchers to develop improved
crops, capable of securing higher yields in the face of significant challenges including …

[PDF][PDF] Pemodelan 3D dengan Menggunakan Metode Structure from Motion dan Terrestrial Laser Scanning (Studi Kasus: Candi Singosari, Malang)

AR Putra - 2016 - repository.its.ac.id
Candi Singosari merupakan salah satu peninggalan sejarah milik Indonesia. Pada awalnya
candi ini digunakan sebagai tempat peribadatan dan pemujaan, tetapi sekarang Candi …