Application of aerial remote sensing technology for detection of fire blight infected pear trees

N Bagheri - Computers and electronics in agriculture, 2020 - Elsevier
Over the last few decades, Fire Blight (FB) has recognized as the most dangerous diseases
of apple and pear trees in the world. Timely diagnosis is very important for the detection of …

[HTML][HTML] Fire blight disease detection for apple trees: Hyperspectral analysis of healthy, infected and dry leaves

H Skoneczny, K Kubiak, M Spiralski, J Kotlarz… - Remote Sensing, 2020 - mdpi.com
The effective and rapid detection of Fire Blight, an important bacterial disease caused by the
quarantine pest E. amylovora, is crucial for today's horticulture. This study explored the …

Remote sensing detection algorithm for apple fire blight based on UAV multispectral image

D Xiao, Y Pan, J Feng, J Yin, Y Liu, L He - Computers and Electronics in …, 2022 - Elsevier
Apple fire blight is a common disease that seriously damages the growth of apple trees. It is
urgent to detect the severity difference and spatial distribution of its infection in time and …

UAV-based multispectral imagery for fast Citrus Greening detection

F DadrasJavan, F Samadzadegan… - Journal of Plant …, 2019 - Springer
Considering the variation in spectral response of plants due to unhealthiness effects, this
study utilizes multispectral imaging to detect Greening disease of citrus trees. Low altitude …

Detection of Fire Blight disease in pear trees by hyperspectral data

N Bagheri, H Mohamadi-Monavar, A Azizi… - European Journal of …, 2018 - Taylor & Francis
Rapid and early detection of Fire Blight as the most destructive bacterial disease of apple
and pear trees is very important to avoid product loss. The objective of this research was to …

Detection and infected area segmentation of apple fire blight using image processing and deep transfer learning for site-specific management

MS Mahmud, L He, A Zahid, P Heinemann… - … and Electronics in …, 2023 - Elsevier
Advanced sensing technologies and deep learning models are needed for automatic
recognition of pathogens to protect trees in orchards. This study developed a fire blight …

[HTML][HTML] Peach flower monitoring using aerial multispectral imaging

R Horton, E Cano, D Bulanon, E Fallahi - Journal of Imaging, 2017 - mdpi.com
One of the tools for optimal crop production is regular monitoring and assessment of crops.
During the growing season of fruit trees, the bloom period has increased photosynthetic …

[HTML][HTML] Fusarium wilt of radish detection using RGB and near infrared images from Unmanned Aerial Vehicles

LM Dang, H Wang, Y Li, K Min, JT Kwak, ON Lee… - Remote Sensing, 2020 - mdpi.com
The radish is a delicious, healthy vegetable and an important ingredient to many side dishes
and main recipes. However, climate change, pollinator decline, and especially Fusarium wilt …

Assessment of potato late blight from UAV-based multispectral imagery

J Rodriguez, I Lizarazo, F Prieto… - … and Electronics in …, 2021 - Elsevier
This paper evaluates a method for assessment and detection of potato late blight using UAV-
based multispectral imagery. Traditional methods of detection and mapping of late blight are …

Detection of stress in tomatoes induced by late blight disease in California, USA, using hyperspectral remote sensing

M Zhang, Z Qin, X Liu, SL Ustin - … Journal of Applied Earth Observation and …, 2003 - Elsevier
Large-scale farming of agricultural crops requires on-time detection of diseases for pest
management. Hyperspectral remote sensing data taken from low-altitude flights usually …