Current state of hyperspectral remote sensing for early plant disease detection: A review
A Terentev, V Dolzhenko, A Fedotov, D Eremenko - Sensors, 2022 - mdpi.com
The development of hyperspectral remote sensing equipment, in recent years, has provided
plant protection professionals with a new mechanism for assessing the phytosanitary state of …
plant protection professionals with a new mechanism for assessing the phytosanitary state of …
A review of estimation methods for aboveground biomass in grasslands using UAV
Grasslands are one of the world's largest ecosystems, accounting for 30% of total terrestrial
biomass. Considering that aboveground biomass (AGB) is one of the most essential …
biomass. Considering that aboveground biomass (AGB) is one of the most essential …
Early detection of plant viral disease using hyperspectral imaging and deep learning
C Nguyen, V Sagan, M Maimaitiyiming… - Sensors, 2021 - mdpi.com
Early detection of grapevine viral diseases is critical for early interventions in order to
prevent the disease from spreading to the entire vineyard. Hyperspectral remote sensing …
prevent the disease from spreading to the entire vineyard. Hyperspectral remote sensing …
Detection of target spot and bacterial spot diseases in tomato using UAV-based and benchtop-based hyperspectral imaging techniques
Early and accurate diagnosis is a critical first step in mitigating losses caused by plant
diseases. An incorrect diagnosis can lead to improper management decisions, such as …
diseases. An incorrect diagnosis can lead to improper management decisions, such as …
UAV-based remote sensing technique to detect citrus canker disease utilizing hyperspectral imaging and machine learning
J Abdulridha, O Batuman, Y Ampatzidis - Remote Sensing, 2019 - mdpi.com
A remote sensing technique was developed to detect citrus canker in laboratory conditions
and was verified in the grove by utilizing an unmanned aerial vehicle (UAV). In the …
and was verified in the grove by utilizing an unmanned aerial vehicle (UAV). In the …
Combined spectral and spatial modeling of corn yield based on aerial images and crop surface models acquired with an unmanned aircraft system
J Geipel, J Link, W Claupein - Remote sensing, 2014 - mdpi.com
Precision Farming (PF) management strategies are commonly based on estimations of
within-field yield potential, often derived from remotely-sensed products, eg, Vegetation …
within-field yield potential, often derived from remotely-sensed products, eg, Vegetation …
Crop classification using spectral indices derived from Sentinel-2A imagery
N Kobayashi, H Tani, X Wang… - Journal of Information and …, 2020 - Taylor & Francis
Optical remote sensing is one of the most attractive options for generating crop cover maps
because it enables computation of vegetation indices, which are useful for assessing the …
because it enables computation of vegetation indices, which are useful for assessing the …
Wildfire damage assessment over Australia using sentinel-2 imagery and MODIS land cover product within the google earth engine cloud platform
ST Seydi, M Akhoondzadeh, M Amani, S Mahdavi - Remote Sensing, 2021 - mdpi.com
Wildfires are major natural disasters negatively affecting human safety, natural ecosystems,
and wildlife. Timely and accurate estimation of wildfire burn areas is particularly important for …
and wildlife. Timely and accurate estimation of wildfire burn areas is particularly important for …
[HTML][HTML] Early detection of bark beetle infestation in Norway spruce forests of Central Europe using Sentinel-2
V Bárta, P Lukeš, L Homolová - … Journal of Applied Earth Observation and …, 2021 - Elsevier
In the past decade, massive outbreaks of bark beetles (Ips spp.) have caused large-scale
decline of coniferous-dominated, prevailingly managed forests of Central Europe. Timely …
decline of coniferous-dominated, prevailingly managed forests of Central Europe. Timely …
Crop classification from Sentinel-2-derived vegetation indices using ensemble learning
R Sonobe, Y Yamaya, H Tani, X Wang… - Journal of Applied …, 2018 - spiedigitallibrary.org
The identification and map** of crops are important for estimating potential harvest as well
as for agricultural field management. Optical remote sensing is one of the most attractive …
as for agricultural field management. Optical remote sensing is one of the most attractive …