VddNet: Vine Disease Detection Network Based on Multispectral Images and Depth Map

Computer vision system for measuring individual cow feed intake using RGB-D camera and deep learning algorithms

(2020) Ran Bezen et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Few-Shot Learning approach for plant disease classification using images taken in the field

(2020) David Argüeso et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Vine disease detection in UAV multispectral images using optimized image registration and deep learning segmentation approach

(2020) Mohamed Kerkech et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Potato Virus Y Detection in Seed Potatoes Using Deep Learning on Hyperspectral Images

(2019) Gerrit Polder et al.   Frontiers in Plant Science

Multi-modal deep learning for Fuji apple detection using RGB-D cameras and their radiometric capabilities

(2019) Jordi Gené-Mola et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

A segmentation method for disease spot images incorporating chrominance in Comprehensive Color Feature and Region Growing

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

Learning Semantic Graphics Using Convolutional Encoder–Decoder Network for Autonomous Weeding in Paddy

(2019) Shyam Prasad Adhikari et al.   Frontiers in Plant Science

Plant Disease Detection and Classification by Deep Learning

(2019) Saleem et al.   Plants-Basel

A survey of unmanned aerial sensing solutions in precision agriculture

(2019) Anandarup Mukherjee et al.   JOURNAL OF NETWORK AND COMPUTER APPLICATIONS

Siam-U-Net: encoder-decoder siamese network for knee cartilage tracking in ultrasound images

(2019) Matteo Dunnhofer et al.   MEDICAL IMAGE ANALYSIS

Plants Disease Identification and Classification Through Leaf Images: A Survey

(2018) Sukhvir Kaur et al.   ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING

Detection and classification of citrus diseases in agriculture based on optimized weighted segmentation and feature selection

(2018) Muhammad Sharif et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Deep learning models for plant disease detection and diagnosis

(2018) Konstantinos P. Ferentinos   COMPUTERS AND ELECTRONICS IN AGRICULTURE

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

Computer vision and artificial intelligence in precision agriculture for grain crops: A systematic review

(2018) Diego Inácio Patrício et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Assessment of the optimal spectral bands for designing a sensor for vineyard disease detection: the case of ‘Flavescence dorée’

(2018) H. Al-Saddik et al.   PRECISION AGRICULTURE

Automated leaf disease detection in different crop species through image features analysis and One Class Classifiers

(2018) X.E. Pantazi et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Deep leaning approach with colorimetric spaces and vegetation indices for vine diseases detection in UAV images

(2018) Mohamed Kerkech et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

A remote sensing technique for detecting laurel wilt disease in avocado in presence of other biotic and abiotic stresses

(2018) Jaafar Abdulridha et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Deep Learning with Unsupervised Data Labeling for Weed Detection in Line Crops in UAV Images

(2018) M Bah et al.   Remote Sensing

Comparison of SIFT Encoded and Deep Learning Features for the Classification and Detection of Esca Disease in Bordeaux Vineyards

(2018) Florian Rançon et al.   Remote Sensing

On the Potentiality of UAV Multispectral Imagery to Detect Flavescence dorée and Grapevine Trunk Diseases

(2018) Johanna Albetis et al.   Remote Sensing

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

(2017) Vijay Badrinarayanan et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Multi-focus image fusion with a deep convolutional neural network

(2017) Yu Liu et al.   Information Fusion

Detection of Flavescence dorée Grapevine Disease Using Unmanned Aerial Vehicle (UAV) Multispectral Imagery

(2017) Johanna Albetis et al.   Remote Sensing

Using 3D Point Clouds Derived from UAV RGB Imagery to Describe Vineyard 3D Macro-Structure

(2017) Marie Weiss et al.   Remote Sensing

Remote hyperspectral imaging of grapevine leafroll-associated virus 3 in cabernet sauvignon vineyards

(2016) Sarah L. MacDonald et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Assessment of a canopy height model (CHM) in a vineyard using UAV-based multispectral imaging

(2016) Alessandro Matese et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Plant Disease Detection by Imaging Sensors – Parallels and Specific Demands for Precision Agriculture and Plant Phenotyping

(2016) Anne-Katrin Mahlein   PLANT DISEASE

Estimation of Evapotranspiration and Crop Coefficients of Tendone Vineyards Using Multi-Sensor Remote Sensing Data in a Mediterranean Environment

(2015) Silvia Vanino et al.   Remote Sensing

Object-based spatiotemporal analysis of vine canopy vigor using an inexpensive unmanned aerial vehicle remote sensing system

(2014) Adam J. Mathews   Journal of Applied Remote Sensing

Mapping crop water stress index in a ‘Pinot-noir’ vineyard: comparing ground measurements with thermal remote sensing imagery from an unmanned aerial vehicle

(2013) J. Bellvert et al.   PRECISION AGRICULTURE