Deep learning for the differentiation of downy mildew and spider mite in grapevine under field conditions

Using deep transfer learning for image-based plant disease identification

(2020) Junde Chen et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Plant Disease Identification Based on Deep Learning Algorithm in Smart Farming

(2020) Yan Guo et al.   DISCRETE DYNAMICS IN NATURE AND SOCIETY

Identification of grape diseases using image analysis and BP neural networks

(2019) Juanhua Zhu et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Plant disease identification from individual lesions and spots using deep learning

(2019) Jayme Garcia Arnal Barbedo   BIOSYSTEMS ENGINEERING

Detection of nutrition deficiencies in plants using proximal images and machine learning: A review

(2019) Jayme Garcia Arnal Barbedo   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Laboratory evaluation of trap color and vinegar, yeast and fruit juice lure combinations for monitoring of Zaprionus indianus (Diptera: Drosophilidae)

(2019) Rodrigo Lasa et al.   INTERNATIONAL JOURNAL OF PEST MANAGEMENT

Quantitative and qualitative phenotyping of disease resistance of crops by hyperspectral sensors: seamless interlocking of phytopathology, sensors, and machine learning is needed!

(2019) Anne-Katrin Mahlein et al.   CURRENT OPINION IN PLANT BIOLOGY

A Non-Invasive Method Based on Computer Vision for Grapevine Cluster Compactness Assessment Using a Mobile Sensing Platform under Field Conditions

(2019) Palacios et al.   SENSORS

Development of thermography methodology for early diagnosis of fungal infection in table grapes: The case of Aspergillus carbonarius

(2019) N. Mastrodimos et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Non-destructive techniques of detecting plant diseases: A review

(2019) Maimunah Mohd Ali et al.   PHYSIOLOGICAL AND MOLECULAR PLANT PATHOLOGY

Deep learning in agriculture: A survey

(2018) Andreas Kamilaris et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Fungal spores affecting vineyards in Montilla-Moriles Southern Spain

(2018) M. Martínez-Bracero et al.   EUROPEAN JOURNAL OF PLANT PATHOLOGY

Using Image Texture and Spectral Reflectance Analysis to Detect Yellowness and Esca in Grapevines at Leaf-Level

(2018) Hania Al-Saddik et al.   Remote Sensing

Habitat use by crop pests and natural enemies in a Mediterranean vineyard agroecosystem

(2018) Idan Shapira et al.   AGRICULTURE ECOSYSTEMS & ENVIRONMENT

Detection of grapevine yellows symptoms in Vitis vinifera L. with artificial intelligence

(2018) Albert Cruz et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Efficient in-field plant phenomics for row-crops with an autonomous ground vehicle

(2017) James Underwood et al.   Journal of Field Robotics

Detection of grape phylloxera (Daktulosphaira vitifoliae Fitch) by real-time quantitative PCR: development of a soil sampling protocol

(2016) D. Giblot-Ducray et al.   AUSTRALIAN JOURNAL OF GRAPE AND WINE RESEARCH

Grapevine leafroll-associated virus 3

(2013) Hans J. Maree et al.   Frontiers in Microbiology

A review of advanced techniques for detecting plant diseases

(2010) Sindhuja Sankaran et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Grape powdery mildew (Erysiphe necator) risk assessment based on airborne conidium concentration

(2009) Odile Carisse et al.   CROP PROTECTION

Detecting skin in face recognition systems: A colour spaces study

(2009) Jose M. Chaves-González et al.   DIGITAL SIGNAL PROCESSING

A New Flow Cytometry Technique to Identify Phaeomoniella chlamydospora Exopolysaccharides and Study Mechanisms of Esca Grapevine Foliar Symptoms

(2009) A. Andolfi et al.   PLANT DISEASE