Estimation of cotton canopy parameters based on unmanned aerial vehicle (UAV) oblique photography

J Wu, S Wen, Y Lan, X Yin, J Zhang, Y Ge - Plant Methods, 2022 - Springer
Background The technology of cotton defoliation is essential for mechanical cotton
harvesting. Agricultural unmanned aerial vehicle (UAV) spraying has the advantages of low …

Real-time detection of hogweed: UAV platform empowered by deep learning

A Menshchikov, D Shadrin, V Prutyanov… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
The Hogweed of Sosnowskyi (lat. Heracleum sosnówskyi) is poisonous for humans,
dangerous for farming crops, and local ecosystems. This plant is fast-growing and has …

Intelligent grapevine disease detection using IoT sensor network

M Hnatiuc, S Ghita, D Alpetri, A Ranca, V Artem, I Dina… - Bioengineering, 2023 - mdpi.com
The Internet of Things (IoT) has gained significance in agriculture, using remote sensing and
machine learning to help farmers make high-precision management decisions. This …

Mapping potato plant density variation using aerial imagery and deep learning techniques for precision agriculture

JK Mhango, EW Harris, R Green, JM Monaghan - Remote Sensing, 2021 - mdpi.com
In potato (Solanum tuberosum) production, the number of tubers harvested and their sizes
are related to the plant population. Field maps of the spatial variation in plant density can …

Comparison of UAS-based structure-from-motion and LiDAR for structural characterization of short broadacre crops

F Zhang, A Hassanzadeh, J Kikkert, SJ Pethybridge… - Remote Sensing, 2021 - mdpi.com
The use of small unmanned aerial system (UAS)-based structure-from-motion (SfM;
photogrammetry) and LiDAR point clouds has been widely discussed in the remote sensing …

Assessing the Potential of UAV-Based Multispectral and Thermal Data to Estimate Soil Water Content Using Geophysical Methods

Y Guan, K Grote - Remote Sensing, 2023 - mdpi.com
Knowledge of the soil water content (SWC) is important for many aspects of agriculture and
must be monitored to maximize crop yield, efficiently use limited supplies of irrigation water …

Coffee Growing with Remotely Piloted Aircraft System: Bibliometric Review

NL Bento, GAS Ferraz, LS Santana, MLO Silva - AgriEngineering, 2023 - mdpi.com
Remotely piloted aircraft systems (RPASs) have gained prominence in recent decades
primarily due to their versatility of application in various sectors of the economy. In the …

Evaluation of Coffee Plants Transplanted to an Area with Surface and Deep Liming Based on Multispectral Indices Acquired Using Unmanned Aerial Vehicles

RAP Barata, GAS Ferraz, NL Bento, DV Soares… - Agronomy, 2023 - mdpi.com
The use of new technologies to monitor and evaluate the management of coffee crops
allowed for a significant increase in productivity. Precision coffee farming has leveraged the …

Evaluation of Leaf Area Index (LAI) of Broadacre crops using UAS-Based LiDAR point clouds and multispectral imagery

F Zhang, A Hassanzadeh, J Kikkert… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
Leaf area index (LAI) is an established structural variable that reflects the three-dimensional
(3-D) leaf layering of vegetation in response to environmental inputs. In this context …

[HTML][HTML] Not just a pretty picture: Mapping Leaf Area Index at 10 m resolution using Sentinel-2

R Fernandes, G Hong, LA Brown, J Dash… - Remote Sensing of …, 2024 - Elsevier
Abstract Achieving the Global Climate Observing System goal of 10 m resolution leaf area
index (LAI) maps is critical for applications related to climate adaptation, sustainable …