Estimation of cotton canopy parameters based on unmanned aerial vehicle (UAV) oblique photography
Background The technology of cotton defoliation is essential for mechanical cotton
harvesting. Agricultural unmanned aerial vehicle (UAV) spraying has the advantages of low …
harvesting. Agricultural unmanned aerial vehicle (UAV) spraying has the advantages of low …
Real-time detection of hogweed: UAV platform empowered by deep learning
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 …
dangerous for farming crops, and local ecosystems. This plant is fast-growing and has …
Intelligent grapevine disease detection using IoT sensor network
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 …
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
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 …
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 …
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 …
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 …
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 …
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 …
(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
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 …
index (LAI) maps is critical for applications related to climate adaptation, sustainable …