Automatic identification and monitoring of plant diseases using unmanned aerial vehicles: A review
K Neupane, F Baysal-Gurel - Remote Sensing, 2021 - mdpi.com
Disease diagnosis is one of the major tasks for increasing food production in agriculture.
Although precision agriculture (PA) takes less time and provides a more precise application …
Although precision agriculture (PA) takes less time and provides a more precise application …
Fusarium Head Blight on Wheat: Biology, Modern Detection and Diagnosis and Integrated Disease Management
E Alisaac, AK Mahlein - Toxins, 2023 - mdpi.com
Fusarium head blight (FHB) is a major threat for wheat production worldwide. Most reviews
focus on Fusarium graminearum as a main causal agent of FHB. However, different …
focus on Fusarium graminearum as a main causal agent of FHB. However, different …
A review on the combination of deep learning techniques with proximal hyperspectral images in agriculture
JGA Barbedo - Computers and Electronics in Agriculture, 2023 - Elsevier
Hyperspectral images can capture the spectral characteristics of surfaces and objects,
providing a 2-D spacial component to the spectral profiles found in a given scene. There are …
providing a 2-D spacial component to the spectral profiles found in a given scene. There are …
Climate change effects on pathogen emergence: Artificial intelligence to translate big data for mitigation
Plant pathology has developed a wide range of concepts and tools for improving plant
disease management, including models for understanding and responding to new risks from …
disease management, including models for understanding and responding to new risks from …
Spectroscopic detection of rice leaf blast infection from asymptomatic to mild stages with integrated machine learning and feature selection
Rice blast is considered as the most destructive disease that threatens global rice
production and causes severe economic losses worldwide. A detection of rice blast infection …
production and causes severe economic losses worldwide. A detection of rice blast infection …
Global challenges facing plant pathology: multidisciplinary approaches to meet the food security and environmental challenges in the mid-twenty-first century
The discipline of plant pathology has an expanding remit requiring a multi-faceted,
interdisciplinary approach to capture the complexity of interactions for any given disease …
interdisciplinary approach to capture the complexity of interactions for any given disease …
Crop breeding for a changing climate: Integrating phenomics and genomics with bioinformatics
Key message Safeguarding crop yields in a changing climate requires bioinformatics
advances in harnessing data from vast phenomics and genomics datasets to translate …
advances in harnessing data from vast phenomics and genomics datasets to translate …
Deep learning architectures for semantic segmentation and automatic estimation of severity of foliar symptoms caused by diseases or pests
Colour-thresholding digital imaging methods are generally accurate for measuring the
percentage of foliar area affected by disease or pests (severity), but they perform poorly …
percentage of foliar area affected by disease or pests (severity), but they perform poorly …
Automatic late blight lesion recognition and severity quantification based on field imagery of diverse potato genotypes by deep learning
J Gao, JC Westergaard, EHR Sundmark… - Knowledge-Based …, 2021 - Elsevier
The plant pathogen Phytophthora infestans causes the severe disease late blight in potato,
which can result in huge yield loss for potato production. Automatic and accurate disease …
which can result in huge yield loss for potato production. Automatic and accurate disease …
Recent advances in plant disease severity assessment using convolutional neural networks
T Shi, Y Liu, X Zheng, K Hu, H Huang, H Liu… - Scientific Reports, 2023 - nature.com
In modern agricultural production, the severity of diseases is an important factor that directly
affects the yield and quality of plants. In order to effectively monitor and control the entire …
affects the yield and quality of plants. In order to effectively monitor and control the entire …