Enhancing assessment of corn growth performance using unmanned aerial vehicles (UAVs) and deep learning

J Xiao, SA Suab, X Chen, CK Singh, D Singh… - Measurement, 2023 - Elsevier
The advancement of unmanned aerial vehicles (UAVs) offers precise and accurate spectral
and spatial information about crops and plays a pivotal role in precision agriculture. This …

Estimating maize seedling number with UAV RGB images and advanced image processing methods

S Liu, D Yin, H Feng, Z Li, X Xu, L Shi, X Jin - Precision Agriculture, 2022 - Springer
Accurately identifying the quantity of maize seedlings is useful in improving maize varieties
with high seedling emergence rates in a breeding program. The traditional method is to …

Corn emergence uniformity estimation and mapping using UAV imagery and deep learning

CN Vong, LS Conway, A Feng, J Zhou… - … and Electronics in …, 2022 - Elsevier
Abstract Assessment of corn (Zea Mays L.) emergence uniformity is important to evaluate
crop yield potential. Previous studies have shown the potential of unmanned aerial vehicle …

Early corn stand count of different cropping systems using UAV-imagery and deep learning

CN Vong, LS Conway, J Zhou, NR Kitchen… - … and Electronics in …, 2021 - Elsevier
Optimum plant stand density and uniformity is vital in order to maximize corn (Zea mays L.)
yield potential. Assessment of stand density can occur shortly after seedlings begin to …

Evaluation of cotton emergence using UAV-based imagery and deep learning

A Feng, J Zhou, E Vories, KA Sudduth - Computers and Electronics in …, 2020 - Elsevier
Crop emergence is an important agronomic factor for making field management decisions,
such as replanting, that are time-sensitive and need to be made at very early stages. Crop …

Automatic UAV-based counting of seedlings in sugar-beet field and extension to maize and strawberry

A Barreto, P Lottes, FRI Yamati, S Baumgarten… - … and Electronics in …, 2021 - Elsevier
Counting crop seedlings is a time-demanding activity involved in diverse agricultural
practices like plant cultivating, experimental trials, plant breeding procedures, and weed …

Unmanned aerial vehicle (UAV) imaging and machine learning applications for plant phenotyping

FT Teshome, HK Bayabil, G Hoogenboom… - … and Electronics in …, 2023 - Elsevier
The availability of timely and accurate information about plant conditions is critical for
making informed decisions for maintaining or improving agricultural productivity. However …

Corn plant counting using deep learning and UAV images

BT Kitano, CCT Mendes, AR Geus… - … and Remote Sensing …, 2019 - ieeexplore.ieee.org
The adoption of new technologies, such as unmanned aerial vehicles (UAVs), image
processing, and machine learning, is disrupting traditional concepts in agriculture, with a …

[HTML][HTML] A convolutional neural network-based method for corn stand counting in the field

L Wang, L Xiang, L Tang, H Jiang - Sensors, 2021 - mdpi.com
Accurate corn stand count in the field at early season is of great interest to corn breeders
and plant geneticists. However, the commonly used manual counting method is time …

Quick and accurate monitoring peanut seedlings emergence rate through UAV video and deep learning

Y Lin, T Chen, S Liu, Y Cai, H Shi, D Zheng… - … and Electronics in …, 2022 - Elsevier
During the seedling stage, real-time monitoring and detection of seed germination are
important for testing the quality of seeds, crop field management, and yield estimation …