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

Remote sensing (Basel, Switzerland), 2019-02, Vol.11 (4), p.410

2019

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Development and evaluation of a low-cost and smart technology for precision weed management utilizing artificial intelligence

Computers and electronics in agriculture, 2019-02, Vol.157, p.339-350

2019

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

Remote sensing (Basel, Switzerland), 2019-06, Vol.11 (11), p.1373

2019

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

Precision agriculture, 2020-10, Vol.21 (5), p.955-978

2020

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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

Remote sensing (Basel, Switzerland), 2020-09, Vol.12 (17), p.2732

2020

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X-FIDO: An Effective Application for Detecting Olive Quick Decline Syndrome with Deep Learning and Data Fusion

Frontiers in plant science, 2017-10, Vol.8, p.1741-1741

2017

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

Sustainability (Basel, Switzerland), 2016-08, Vol.8 (8), p.831

2016

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Strawberry Maturity Classification from UAV and Near-Ground Imaging Using Deep Learning

Smart agricultural technology, 2021-12, Vol.1, p.100001, Article 100001

2021

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Identification and Classification of Downy Mildew Severity Stages in Watermelon Utilizing Aerial and Ground Remote Sensing and Machine Learning

Frontiers in plant science, 2022-05, Vol.13, p.791018-791018

2022

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Exploring deficit irrigation as a water conservation strategy: Insights from field experiments and model simulation

Agricultural water management, 2023-11, Vol.289, p.108490, Article 108490

2023

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

Remote sensing (Basel, Switzerland), 2019-08, Vol.11 (15), p.1748

2019

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Tree-level citrus yield prediction utilizing ground and aerial machine vision and machine learning

Smart agricultural technology, 2023-02, Vol.3, p.100077, Article 100077

2023

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Using UAV-based hyperspectral imaging and functional regression to assist in predicting grain yield and related traits in wheat under heat-related stress environments for the purpose of stable yielding genotypes

Precision agriculture, 2022-04, Vol.23 (2), p.622-642

2022

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Developing a Web-based Pistachio Nut Growth Prediction System for Orchard Management

HortTechnology (Alexandria, Va.), 2024-02, Vol.34 (1), p.1-7

2024

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Mechanical Harvest of Fresh Market Apples: Progress over the Past Decades

1, 2021

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Modeling for Sustainable Management in Agriculture, Food and the Environment

1, 2022

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Steam application with paraquat to control goat weed (Scoparia dulcis) in citrus orchards

Smart agricultural technology, 2023-12, Vol.6, p.100355, Article 100355

2023

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Smart spraying technologies for precision weed management: A review

Smart agricultural technology, 2023-12, Vol.6, p.100337, Article 100337

2023

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Determining leaf stomatal properties in citrus trees utilizing machine vision and artificial intelligence

Precision agriculture, 2021-08, Vol.22 (4), p.1107-1119

2021

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Editorial: Artificial Intelligence Applications in Specialty Crops

Frontiers in plant science, 2022-04, Vol.13, p.866724-866724

2022

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Evaluation of a Ground Penetrating Radar to Map the Root Architecture of HLB-infected Citrus Trees

Agronomy (Basel), 2019-07, Vol.9 (7), p.354

2019

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Development of an Innovative Optoelectronic Nose for Detecting Adulteration in Quince Seed Oil

Foods, 2023-12, Vol.12 (23), p.4350

2023

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Unmanned Aerial Systems in Precision Agriculture: Technological Progresses and Applications

1, 2022

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Specific Fluorescence in Situ Hybridization (FISH) Test to Highlight Colonization of Xylem Vessels by Xylella fastidiosa in Naturally Infected Olive Trees ( Olea europaea L.)

Frontiers in plant science, 2018-04, Vol.9, p.431-431

2018

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Information and Communication Technologies for Agriculture-Theme I: Sensors

2022

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

Development and evaluation of a low-cost and smart technology for precision weed management utilizing artificial intelligence

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

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

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

X-FIDO: An Effective Application for Detecting Olive Quick Decline Syndrome with Deep Learning and Data Fusion

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

Strawberry Maturity Classification from UAV and Near-Ground Imaging Using Deep Learning

Identification and Classification of Downy Mildew Severity Stages in Watermelon Utilizing Aerial and Ground Remote Sensing and Machine Learning

Exploring deficit irrigation as a water conservation strategy: Insights from field experiments and model simulation

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

Tree-level citrus yield prediction utilizing ground and aerial machine vision and machine learning

Using UAV-based hyperspectral imaging and functional regression to assist in predicting grain yield and related traits in wheat under heat-related stress environments for the purpose of stable yielding genotypes

Developing a Web-based Pistachio Nut Growth Prediction System for Orchard Management

Mechanical Harvest of Fresh Market Apples: Progress over the Past Decades

Modeling for Sustainable Management in Agriculture, Food and the Environment

Steam application with paraquat to control goat weed (Scoparia dulcis) in citrus orchards

Smart spraying technologies for precision weed management: A review

Determining leaf stomatal properties in citrus trees utilizing machine vision and artificial intelligence

Editorial: Artificial Intelligence Applications in Specialty Crops

Evaluation of a Ground Penetrating Radar to Map the Root Architecture of HLB-infected Citrus Trees

Development of an Innovative Optoelectronic Nose for Detecting Adulteration in Quince Seed Oil

Unmanned Aerial Systems in Precision Agriculture: Technological Progresses and Applications

Specific Fluorescence in Situ Hybridization (FISH) Test to Highlight Colonization of Xylem Vessels by Xylella fastidiosa in Naturally Infected Olive Trees ( Olea europaea L.)

Information and Communication Technologies for Agriculture-Theme I: Sensors

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