Deep learning techniques to classify agricultural crops through UAV imagery: A review

A Bouguettaya, H Zarzour, A Kechida… - Neural computing and …, 2022 - Springer
During the last few years, Unmanned Aerial Vehicles (UAVs) technologies are widely used
to improve agriculture productivity while reducing drudgery, inspection time, and crop …

Computer vision, IoT and data fusion for crop disease detection using machine learning: A survey and ongoing research

M Ouhami, A Hafiane, Y Es-Saady, M El Hajji… - Remote Sensing, 2021 - mdpi.com
Crop diseases constitute a serious issue in agriculture, affecting both quality and quantity of
agriculture production. Disease control has been a research object in many scientific and …

Remote sensing in field crop monitoring: A comprehensive review of sensor systems, data analyses and recent advances

E Omia, H Bae, E Park, MS Kim, I Baek, I Kabenge… - Remote Sensing, 2023 - mdpi.com
The key elements that underpin food security require the adaptation of agricultural systems
to support productivity increases while minimizing inputs and the adverse effects of climate …

A comprehensive review on recent applications of unmanned aerial vehicle remote sensing with various sensors for high-throughput plant phenotyping

L Feng, S Chen, C Zhang, Y Zhang, Y He - Computers and electronics in …, 2021 - Elsevier
High-throughput phenotyping has been widely studied in plant science to monitor plant
growth and analyze the influence of genotypes and environment on plant growth. To meet …

[HTML][HTML] Semantic segmentation of agricultural images: A survey

Z Luo, W Yang, Y Yuan, R Gou, X Li - Information Processing in Agriculture, 2023 - Elsevier
As an important research topic in recent years, semantic segmentation has been widely
applied to image understanding problems in various fields. With the successful application …

Estimating leaf area index using unmanned aerial vehicle data: shallow vs. deep machine learning algorithms

S Liu, X Jin, C Nie, S Wang, X Yu, M Cheng… - Plant …, 2021 - academic.oup.com
Measuring leaf area index (LAI) is essential for evaluating crop growth and estimating yield,
thereby facilitating high-throughput phenotyping of maize (Zea mays). LAI estimation models …

Adoption of Unmanned Aerial Vehicle (UAV) imagery in agricultural management: A systematic literature review

MA Istiak, MMM Syeed, MS Hossain, MF Uddin… - Ecological …, 2023 - Elsevier
Precision agriculture and Smart farming have become the essential backbone for
sustainable agricultural production by leveraging cutting edge remote sensing and …

Estimation of plant height and yield based on UAV imagery in faba bean (Vicia faba L.)

Y Ji, Z Chen, Q Cheng, R Liu, M Li, X Yan, G Li… - Plant Methods, 2022 - Springer
Background Faba bean is an important legume crop in the world. Plant height and yield are
important traits for crop improvement. The traditional plant height and yield measurement …

Estimating agricultural soil moisture content through UAV-based hyperspectral images in the arid region

X Ge, J Ding, X Jin, J Wang, X Chen, X Li, J Liu, B Xie - Remote Sensing, 2021 - mdpi.com
Unmanned aerial vehicle (UAV)-based hyperspectral remote sensing is an important
monitoring technology for the soil moisture content (SMC) of agroecological systems in arid …

[HTML][HTML] MTS-CNN: Multi-task semantic segmentation-convolutional neural network for detecting crops and weeds

YH Kim, KR Park - Computers and Electronics in Agriculture, 2022 - Elsevier
Research is being extensively conducted on using deep learning in the field of crop and
weed segmentation based on images captured with a camera. However, the segmentation …