Laboratory and UAV-Based Identification and Classification of Tomato Yellow Leaf Curl, Bacterial Spot, and Target Spot Diseases in Tomato Utilizing Hyperspectral Imaging and Machine Learning

A new visible band index (vNDVI) for estimating NDVI values on RGB images utilizing genetic algorithms

(2020) Lucas Costa et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Evaluation of Hyperspectral Reflectance Parameters to Assess the Leaf Water Content in Soybean

(2019) Marek Kovar et al.   Water

UAV-Based High Throughput Phenotyping in Citrus Utilizing Multispectral Imaging and Artificial Intelligence

(2019) Yiannis Ampatzidis et al.   Remote Sensing

Automated vision-based system for monitoring Asian citrus psyllid in orchards utilizing artificial intelligence

(2019) Victor Partel et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

A Deep Learning-Based Approach for Automated Yellow Rust Disease Detection from High-Resolution Hyperspectral UAV Images

(2019) Xin Zhang et al.   Remote Sensing

UAV-Based Remote Sensing Technique to Detect Citrus Canker Disease Utilizing Hyperspectral Imaging and Machine Learning

(2019) Jaafar Abdulridha et al.   Remote Sensing

Finite Difference Analysis and Bivariate Correlation of Hyperspectral Data for Detecting Laurel Wilt Disease and Nutritional Deficiency in Avocado

(2019) Jeanette Hariharan et al.   Remote Sensing

Citrus rootstock evaluation utilizing UAV-based remote sensing and artificial intelligence

(2019) Yiannis Ampatzidis et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Biological Kerker Effect Boosts Light Collection Efficiency in Plants

(2019) Hani Barhom et al.   NANO LETTERS

Estimation of the leaf chlorophyll content using multiangular spectral reflectance factor

(2019) Wange Li et al.   PLANT CELL AND ENVIRONMENT

Detection of target spot and bacterial spot diseases in tomato using UAV-based and benchtop-based hyperspectral imaging techniques

(2019) Jaafar Abdulridha et al.   PRECISION AGRICULTURE

THz Water Transmittance and Leaf Surface Area: An Effective Nondestructive Method for Determining Leaf Water Content

(2019) Pagano et al.   SENSORS

The Development of Hyperspectral Distribution Maps to Predict the Content and Distribution of Nitrogen and Water in Wheat (Triticum aestivum)

(2019) Brooke Bruning et al.   Frontiers in Plant Science

Hyperspectral measurements of yellow rust and fusarium head blight in cereal crops: Part 1: Laboratory study

(2018) Rebecca L. Whetton et al.   BIOSYSTEMS ENGINEERING

Unsupervised hyperspectral band selection for apple Marssonina blotch detection

(2018) Mubarakat Shuaibu et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Detecting myrtle rust (Austropuccinia psidii ) on lemon myrtle trees using spectral signatures and machine learning

(2018) R. H. J. Heim et al.   PLANT PATHOLOGY

Iron, magnesium, nitrogen and potassium deficiency symptom discrimination by reflectance spectroscopy in grapevine leaves

(2018) Laura Rustioni et al.   SCIENTIA HORTICULTURAE

Detection of multi-tomato leaf diseases (late blight, target and bacterial spots) in different stages by using a spectral-based sensor

(2018) Jinzhu Lu et al.   Scientific Reports

Using spectral reflectance to estimate leaf chlorophyll content of tea with shading treatments

(2018) Rei Sonobe et al.   BIOSYSTEMS ENGINEERING

Detection of peanut leaf spots disease using canopy hyperspectral reflectance

(2018) Tingting Chen 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

Evaluating the performance of spectral features and multivariate analysis tools to detect laurel wilt disease and nutritional deficiency in avocado

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

Using reflectance to explain vegetation biochemical and structural effects on sun-induced chlorophyll fluorescence

(2018) Peiqi Yang et al.   REMOTE SENSING OF ENVIRONMENT

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

(2018) Johanna Albetis et al.   Remote Sensing

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

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

Predicting macroalgal pigments (chlorophyll a, chlorophyll b, chlorophyll a + b, carotenoids) in various environmental conditions using high-resolution hyperspectral spectroradiometers

(2017) Ele Vahtmäe et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Hyperspectral image analysis techniques for the detection and classification of the early onset of plant disease and stress

(2017) Amy Lowe et al.   Plant Methods

iPathology: Robotic Applications and Management of Plants and Plant Diseases

(2017) Yiannis Ampatzidis et al.   Sustainability

Plant Pathology and Information Technology: Opportunity for Management of Disease Outbreak and Applications in Regulation Frameworks

(2016) Andrea Luvisi et al.   Sustainability

Advanced methods of plant disease detection. A review

(2014) Federico Martinelli et al.   Agronomy for Sustainable Development

Robust fitting of fluorescence spectra for pre-symptomatic wheat leaf rust detection with Support Vector Machines

(2011) Christoph Römer et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE