Recent advances in crop disease detection using UAV and deep learning techniques
Because of the recent advances in drones or Unmanned Aerial Vehicle (UAV) platforms,
sensors and software, UAVs have gained popularity among precision agriculture …
sensors and software, UAVs have gained popularity among precision agriculture …
Global open data remote sensing satellite missions for land monitoring and conservation: A review
The application of global open data remote sensing satellite missions in land monitoring and
conservation studies is in the state of rapid growth, ensuring an observation with high spatial …
conservation studies is in the state of rapid growth, ensuring an observation with high spatial …
Predicting canopy chlorophyll content in sugarcane crops using machine learning algorithms and spectral vegetation indices derived from UAV multispectral imagery
The use of satellite-based Remote Sensing (RS) is a well-developed field of research. RS
techniques have been successfully utilized to evaluate the chlorophyll content for the …
techniques have been successfully utilized to evaluate the chlorophyll content for the …
Multi-stage corn yield prediction using high-resolution UAV multispectral data and machine learning models
Timely and cost-effective crop yield prediction is vital in crop management decision-making.
This study evaluates the efficacy of Unmanned Aerial Vehicle (UAV)-based Vegetation …
This study evaluates the efficacy of Unmanned Aerial Vehicle (UAV)-based Vegetation …
Estimation of maize foliar temperature and stomatal conductance as indicators of water stress based on optical and thermal imagery acquired using an unmanned …
Climatic variability and extreme weather events impact agricultural production, especially in
sub-Saharan smallholder cropping systems, which are commonly rainfed. Hence, the …
sub-Saharan smallholder cropping systems, which are commonly rainfed. Hence, the …
Evaluating the sensitivity of water stressed maize chlorophyll and structure based on UAV derived vegetation indices
To further assess the sensitivity of crop chlorophyll and structure based on UAV vegetation
indices (VIs) to maize water stress, a study was carried out in a maize field located in Inner …
indices (VIs) to maize water stress, a study was carried out in a maize field located in Inner …
[HTML][HTML] Monitoring maize canopy chlorophyll content throughout the growth stages based on UAV MS and RGB feature fusion
W Li, K Pan, W Liu, W Xiao, S Ni, P Shi, X Chen, T Li - Agriculture, 2024 - mdpi.com
Chlorophyll content is an important physiological indicator reflecting the growth status of
crops. Traditional methods for obtaining crop chlorophyll content are time-consuming and …
crops. Traditional methods for obtaining crop chlorophyll content are time-consuming and …
[HTML][HTML] The feasibility of hand-held thermal and UAV-based multispectral imaging for canopy water status assessment and yield prediction of irrigated African …
This study was conducted to evaluate the feasibility of a mobile phone-based thermal and
UAV-based multispectral imaging to assess the irrigation performance of African eggplant …
UAV-based multispectral imaging to assess the irrigation performance of African eggplant …
A fast Fourier convolutional deep neural network for accurate and explainable discrimination of wheat yellow rust and nitrogen deficiency from Sentinel-2 time series …
Introduction Accurate and timely detection of plant stress is essential for yield protection,
allowing better-targeted intervention strategies. Recent advances in remote sensing and …
allowing better-targeted intervention strategies. Recent advances in remote sensing and …
[HTML][HTML] Timely monitoring of soil water-salt dynamics within cropland by hybrid spectral unmixing and machine learning models
R Du, J Chen, Y Xiang, R Xiang, X Yang… - International Soil and …, 2024 - Elsevier
Soil salinization and water scarcity are main restrictive factors for irrigated agriculture
development in arid regions. Knowing dynamics of soil water and salt content is an …
development in arid regions. Knowing dynamics of soil water and salt content is an …