[HTML][HTML] UAV-based forest health monitoring: A systematic review

S Ecke, J Dempewolf, J Frey, A Schwaller, E Endres… - Remote Sensing, 2022 - mdpi.com
In recent years, technological advances have led to the increasing use of unmanned aerial
vehicles (UAVs) for forestry applications. One emerging field for drone application is forest …

[HTML][HTML] The potential of remote sensing and artificial intelligence as tools to improve the resilience of agriculture production systems

J Jung, M Maeda, A Chang, M Bhandari… - Current Opinion in …, 2021 - Elsevier
Modern agriculture and food production systems are facing increasing pressures from
climate change, land and water availability, and, more recently, a pandemic. These factors …

[HTML][HTML] A review on UAV-based applications for precision agriculture

DC Tsouros, S Bibi, PG Sarigiannidis - Information, 2019 - mdpi.com
Emerging technologies such as Internet of Things (IoT) can provide significant potential in
Smart Farming and Precision Agriculture applications, enabling the acquisition of real-time …

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

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

Challenges and opportunities in machine-augmented plant stress phenoty**

A Singh, S Jones, B Ganapathysubramanian… - Trends in Plant …, 2021 - cell.com
Plant stress phenoty** is essential to select stress-resistant varieties and develop better
stress-management strategies. Standardization of visual assessments and deployment of …

Yield estimation in cotton using UAV-based multi-sensor imagery

A Feng, J Zhou, ED Vories, KA Sudduth… - Biosystems engineering, 2020 - Elsevier
Highlights•Site-specific cotton yield estimation was conducted.•The performance of multiple
image sensors were evaluated.•Data were registered based on image features.•Methods …

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

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 …

[HTML][HTML] Plant disease diagnosis using deep learning based on aerial hyperspectral images: A review

LW Kuswidiyanto, HH Noh, X Han - Remote Sensing, 2022 - mdpi.com
Plant diseases cause considerable economic loss in the global agricultural industry. A
current challenge in the agricultural industry is the development of reliable methods for …

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 …

High-throughput plant phenoty** platform (HT3P) as a novel tool for estimating agronomic traits from the lab to the field

D Li, C Quan, Z Song, X Li, G Yu, C Li… - … in Bioengineering and …, 2021 - frontiersin.org
Food scarcity, population growth, and global climate change have propelled crop yield
growth driven by high-throughput phenoty** into the era of big data. However, access to …