Global research trends for unmanned aerial vehicle remote sensing application in wheat crop monitoring

L Nduku, C Munghemezulu… - Geomatics, 2023 - mdpi.com
Wheat is an important staple crop in the global food chain. The production of wheat in many
regions is constrained by the lack of use of advanced technologies for wheat monitoring …

Wheat lodging segmentation based on Lstm_PSPNet deep learning network

J Yu, T Cheng, N Cai, XG Zhou, Z Diao, T Wang, S Du… - Drones, 2023 - mdpi.com
Lodging is one of the major issues that seriously affects wheat quality and yield. To obtain
timely and accurate wheat lodging information and identify the potential factors leading to …

A generic approach for wheat disease classification and verification using expert opinion for knowledge-based decisions

W Haider, AU Rehman, NM Durrani… - IEEE Access, 2021 - ieeexplore.ieee.org
Crop diseases have mainly affected crop production due to the lack of modern approaches
for disease identification. For many years, farmers have identified various crop diseases and …

Improvement Of In-season Crop Mapping For Illinois Cropland Using Multiple Machine Learning Classifiers

H Li, L Di, C Zhang, L Lin, L Guo - 2022 10th International …, 2022 - ieeexplore.ieee.org
Large-area crop type identification and mapping for cropland are intensively crucial for
agriculture research, yield forecast, and disaster management. The United States …

Automatic detection of crop lodging from multitemporal satellite data based on the isolation forest algorithm

R Guo, X Zhu, T Liu - Computers and Electronics in Agriculture, 2023 - Elsevier
Rapid identification of crop lodging has implications for optimizing disaster prevention and
mitigation measures. This study proposes a sequentially integrated algorithm for crop …

Detection of wheat lodging by binocular cameras during harvesting operation

J Wen, Y Yin, Y Zhang, Z Pan, Y Fan - Agriculture, 2022 - mdpi.com
Wheat lodging provides important reference information for self-adaptive header control of a
combine harvester. Aimed at real-time detection of wheat lodging, this paper proposed a …

Predicting dry pea maturity using machine learning and advanced sensor fusion with unmanned aerial systems (UASs)

A Bazrafkan, H Navasca, JH Kim, M Morales… - Remote Sensing, 2023 - mdpi.com
Maturity is an important trait in dry pea breeding programs, but the conventional process
predominately used to measure this trait can be time-consuming, labor-intensive, and prone …

Implementing spatio-temporal 3D-convolution neural networks and UAV time series imagery to better predict lodging damage in sorghum

S Varela, TL Pederson, ADB Leakey - Remote Sensing, 2022 - mdpi.com
Unmanned aerial vehicle (UAV)-based remote sensing is gaining momentum in a variety of
agricultural and environmental applications. Very-high-resolution remote sensing image …

Automated In-Season Crop-Type Data Layer Mapping Without Ground Truth for the Conterminous United States Based on Multisource Satellite Imagery

H Li, L Di, C Zhang, L Lin, L Guo… - … on Geoscience and …, 2024 - ieeexplore.ieee.org
Mapping nationwide in-season crop-type data is a significant and challenging task in
agriculture remote sensing. The existing data product for US crop-type planting, such as the …

Evaluation of rapeseed flowering dynamics for different genotypes with UAV platform and machine learning algorithm

Z Xie, S Chen, G Gao, H Li, X Wu, L Meng, Y Ma - Precision Agriculture, 2022 - Springer
Rapeseed (Brassica napus L.) is an important oil-bearing cash crop. Effective identification
of the rapeseed flowering date is important for yield estimation and disease control …