Phenoty** grapevine red blotch virus and grapevine leafroll-associated viruses before and after symptom expression through machine-learning analysis of …

E Sawyer, E Laroche-Pinel, M Flasco… - Frontiers in plant …, 2023 - frontiersin.org
Introduction Grapevine leafroll-associated viruses (GLRaVs) and grapevine red blotch virus
(GRBV) cause substantial economic losses and concern to North America's grape and wine …

Automated grapevine cultivar identification via leaf imaging and deep convolutional neural networks: a proof-of-concept study employing primary iranian varieties

A Nasiri, A Taheri-Garavand, D Fanourakis, YD Zhang… - Plants, 2021 - mdpi.com
Extending over millennia, grapevine cultivation encompasses several thousand cultivars.
Cultivar (cultivated variety) identification is traditionally dealt by ampelography, requiring …

Early Identification of Root Rot Disease by Using Hyperspectral Reflectance: The Case of Pathosystem Grapevine/Armillaria

F Calamita, HA Imran, L Vescovo, ML Mekhalfi… - Remote Sensing, 2021 - mdpi.com
Armillaria genus represents one of the most common causes of chronic root rot disease in
woody plants. Prompt recognition of diseased plants is crucial to control the pathogen …

An exploration of deep learning techniques for the detection of grape diseases

K Pandey, A Chandak - Recent Advances in Computer Science …, 2024 - benthamdirect.com
Plant diseases are one of the major contributors to economic loss in the agriculture industry
worldwide. Detection of disease at early stages can help in the reduction of this loss. In …

[HTML][HTML] Crops Disease Detection, from Leaves to Field: What We Can Expect from Artificial Intelligence

Y Lebrini, A Ayerdi Gotor - Agronomy, 2024 - mdpi.com
Agriculture is dealing with numerous challenges of increasing production while decreasing
the amount of chemicals and fertilizers used. The intensification of agricultural systems has …

Early detection of gray blight in tea leaves and rapid screening of resistance varieties by hyperspectral imaging technology

Y Mao, H Li, Y Xu, S Wang, X Yin, K Fan… - Journal of the …, 2024 - Wiley Online Library
BACKGROUND Gray blight (GB) is a significant disease of tea leaves, posing a severe
threat to both the yield and quality. In this study, the process of leaf infection by a pathogenic …

[HTML][HTML] Designing a proximal sensing camera acquisition system for vineyard applications: Results and feedback on 8 years of experiments

F Rançon, B Keresztes, A Deshayes, M Tardif… - Sensors, 2023 - mdpi.com
The potential of image proximal sensing for agricultural applications has been a prolific
scientific subject in the recent literature. Its main appeal lies in the sensing of precise …

Predictive modeling of Satureja rechingeri essential oil yield and composition under water deficit and soil amendment conditions using artificial neural networks …

A Taheri-Garavand, M Beiranvandi, A Ahmadi… - … and Electronics in …, 2024 - Elsevier
The cultivation of medicinal plants is a complex process that involves the processing of large
data across various factors. With the introduction of artificial networks in plant sciences, it …

Field and landscape risk factors impacting Flavescence dorée infection: Insights from spatial Bayesian modeling in the Bordeaux vineyards

HK Adrakey, S Malembic-Maher, A Rusch… - …, 2022 - Am Phytopath Society
Flavescence dorée (FD) is a quarantine disease threatening European vineyards. Its
management is based on mandatory insecticide treatments and the uprooting of infected …

Superpixels and graph convolutional neural networks for efficient detection of nutrient deficiency stress from aerial imagery

S Dadsetan, D Pichler, D Wilson… - Proceedings of the …, 2021 - openaccess.thecvf.com
Advances in remote sensing technology have led to the capture of massive amounts of data.
Increased image resolution, more frequent revisit times, and additional spectral channels …