Unmanned Aerial System (UAS)-based phenotyping of soybean using multi-sensor data fusion and extreme learning machine
M Maimaitijiang, A Ghulam, P Sidike, S Hartling… - ISPRS Journal of …, 2017 - Elsevier
Estimating crop biophysical and biochemical parameters with high accuracy at low-cost is
imperative for high-throughput phenotyping in precision agriculture. Although fusion of data …
imperative for high-throughput phenotyping in precision agriculture. Although fusion of data …
[HTML][HTML] Application of UAV multisensor data and ensemble approach for high-throughput estimation of maize phenotyping traits
M Shu, S Fei, B Zhang, X Yang, Y Guo, B Li… - Plant Phenomics, 2022 - spj.science.org
High-throughput estimation of phenotypic traits from UAV (unmanned aerial vehicle) images
is helpful to improve the screening efficiency of breeding maize. Accurately estimating …
is helpful to improve the screening efficiency of breeding maize. Accurately estimating …
Estimating the maize above-ground biomass by constructing the tridimensional concept model based on UAV-based digital and multi-spectral images
S Meiyan, S Mengyuan, D Qizhou, Y Xiaohong… - Field Crops …, 2022 - Elsevier
Above-ground biomass (AGB) is an important basis for the formation of crop yield. The
accurate estimation of maize AGB based on unmanned aerial vehicle (UAV) images is …
accurate estimation of maize AGB based on unmanned aerial vehicle (UAV) images is …
Entropy weight ensemble framework for yield prediction of winter wheat under different water stress treatments using unmanned aerial vehicle-based multispectral …
Crop breeding programs generally perform early field assessments of candidate selection
based on primary traits such as grain yield (GY). The traditional methods of yield …
based on primary traits such as grain yield (GY). The traditional methods of yield …
Shuaipeng Fei1, 2, 3, Muhammad Adeel Hassan2, 4, Yuntao Ma3, Meiyan Shu3, Qian Cheng1, Zongpeng Li1, Zhen Chen1* and Yonggui Xiao2
W Han - UAV Remote Sensing for Plant Traits and Stress, 2022 - books.google.com
Crop breeding programs generally perform early field assessments of candidate selection
based on primary traits such as grain yield (GY). The traditional methods of yield …
based on primary traits such as grain yield (GY). The traditional methods of yield …
Estimation of tobacco leaf chlorophyll content under different nitrogen levels using UAV-based multispectral camera
R Zhang, J Zhang, Y Kuai, T Chen… - … Conference on Agri …, 2022 - spiedigitallibrary.org
Leaf chlorophyll content is one of the key indices for plant growth state and nutrient
management. This study was designed to develop a new prediction model for tobacco leaf …
management. This study was designed to develop a new prediction model for tobacco leaf …
Multimodal Remote Sensing Data Fusion and Machine Learning for Crop Monitoring and Food Security
M Maimaitijiang - 2020 - search.proquest.com
Crop monitoring and yield prediction over agricultural fields are critical to grain policy
making and food security in the context of climate change and population growth. Monitoring …
making and food security in the context of climate change and population growth. Monitoring …
DETECÇÃO DE RESPOSTAS ESPECTRAIS NA SOJA CAUSADOS POR NEMATOIDES POR MEIO DE SISTEMAS AÉREOS NÃO TRIPULADOS
VH Moraes - 2019 - repositorio.ifgoiano.edu.br
A soja Glycine max (L.) Merril é a quarta cultura mais cultivada no mundo (VOLPATO et al.,
2019), sendo considerada uma das principais commodities do Brasil (RAMIRO et al., 2019) …
2019), sendo considerada uma das principais commodities do Brasil (RAMIRO et al., 2019) …