Unmanned Aerial Vehicles (UAV) in precision agriculture: Applications and challenges
P Velusamy, S Rajendran, RK Mahendran, S Naseer… - Energies, 2021 - mdpi.com
Agriculture is the primary source of income in developing countries like India. Agriculture
accounts for 17 percent of India's total GDP, with almost 60 percent of the people directly or …
accounts for 17 percent of India's total GDP, with almost 60 percent of the people directly or …
A review on the use of unmanned aerial vehicles and imaging sensors for monitoring and assessing plant stresses
JGA Barbedo - Drones, 2019 - mdpi.com
Unmanned aerial vehicles (UAVs) are becoming a valuable tool to collect data in a variety of
contexts. Their use in agriculture is particularly suitable, as those areas are often vast …
contexts. Their use in agriculture is particularly suitable, as those areas are often vast …
Soybean yield prediction from UAV using multimodal data fusion and deep learning
M Maimaitijiang, V Sagan, P Sidike, S Hartling… - Remote sensing of …, 2020 - Elsevier
Preharvest crop yield prediction is critical for grain policy making and food security. Early
estimation of yield at field or plot scale also contributes to high-throughput plant phenotyping …
estimation of yield at field or plot scale also contributes to high-throughput plant phenotyping …
Crop monitoring using satellite/UAV data fusion and machine learning
M Maimaitijiang, V Sagan, P Sidike, AM Daloye… - Remote Sensing, 2020 - mdpi.com
Non-destructive crop monitoring over large areas with high efficiency is of great significance
in precision agriculture and plant phenotyping, as well as decision making with regards to …
in precision agriculture and plant phenotyping, as well as decision making with regards to …
Drones: innovative technology for use in precision pest management
FH Iost Filho, WB Heldens, Z Kong… - Journal of economic …, 2020 - academic.oup.com
Arthropod pest outbreaks are unpredictable and not uniformly distributed within fields. Early
outbreak detection and treatment application are inherent to effective pest management …
outbreak detection and treatment application are inherent to effective pest management …
Yield estimation in cotton using UAV-based multi-sensor imagery
Highlights•Site-specific cotton yield estimation was conducted.•The performance of multiple
image sensors were evaluated.•Data were registered based on image features.•Methods …
image sensors were evaluated.•Data were registered based on image features.•Methods …
Estimating leaf area index using unmanned aerial vehicle data: shallow vs. deep machine learning algorithms
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 …
thereby facilitating high-throughput phenotyping of maize (Zea mays). LAI estimation models …
Developing a machine learning based cotton yield estimation framework using multi-temporal UAS data
In this research a machine learning framework was developed for cotton yield estimation
using multi-temporal remote sensing data collected from unmanned aircraft system (UAS) …
using multi-temporal remote sensing data collected from unmanned aircraft system (UAS) …
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 …
important traits for crop improvement. The traditional plant height and yield measurement …
Review on unmanned aerial vehicles, remote sensors, imagery processing, and their applications in agriculture
D Olson, J Anderson - Agronomy Journal, 2021 - Wiley Online Library
Unmanned aerial vehicles (UAV) and the sensors they can be equipped with are becoming
more technologically advanced and common place within the agricultural industry. The …
more technologically advanced and common place within the agricultural industry. The …