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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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Determining leaf nutrient concentrations in citrus trees using UAV imagery and machine learning

Precision agriculture, 2022-06, Vol.23 (3), p.854-875

2022

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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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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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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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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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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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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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Unmanned Aerial Systems in Precision Agriculture: Technological Progresses and Applications

1, 2022

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Information and Communication Technologies for Agriculture-Theme I: Sensors

2022

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Detecting two-spotted spider mites and predatory mites in strawberry using deep learning

Smart agricultural technology, 2023-08, Vol.4, p.100229, Article 100229

2023

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Prediction of morpho-physiological traits in sugarcane using aerial imagery and machine learning

Smart agricultural technology, 2023-02, Vol.3, p.100104, Article 100104

2023

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Agroview: Cloud-based application to process, analyze and visualize UAV-collected data for precision agriculture applications utilizing artificial intelligence

Computers and electronics in agriculture, 2020-07, Vol.174, p.105457, Article 105457

2020

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UAV-based coffee yield prediction utilizing feature selection and deep learning

Smart agricultural technology, 2021-12, Vol.1, p.100010, Article 100010

2021

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Simulation and Evaluation of Heat Transfer Inside a Diseased Citrus Tree during Heat Treatment

AgriEngineering, 2021-03, Vol.3 (1), p.19-28

2021

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

Computers and electronics in agriculture, 2020-05, Vol.172, p.105334, Article 105334

2020

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Detecting powdery mildew disease in squash at different stages using UAV-based hyperspectral imaging and artificial intelligence

Biosystems engineering, 2020-09, Vol.197, p.135-148

2020

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Evaluation of Mobile Heat Treatment System for Treating In-Field HLB-Affected Trees by Analyzing Survival Rate of Surrogate Bacteria

Agronomy (Basel), 2019-09, Vol.9 (9), p.540

2019

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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

Determining leaf nutrient concentrations in citrus trees using UAV imagery and machine learning

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

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

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

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

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

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

Unmanned Aerial Systems in Precision Agriculture: Technological Progresses and Applications

Information and Communication Technologies for Agriculture-Theme I: Sensors

Detecting two-spotted spider mites and predatory mites in strawberry using deep learning

Prediction of morpho-physiological traits in sugarcane using aerial imagery and machine learning

Agroview: Cloud-based application to process, analyze and visualize UAV-collected data for precision agriculture applications utilizing artificial intelligence

UAV-based coffee yield prediction utilizing feature selection and deep learning

Simulation and Evaluation of Heat Transfer Inside a Diseased Citrus Tree during Heat Treatment

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

Detecting powdery mildew disease in squash at different stages using UAV-based hyperspectral imaging and artificial intelligence

Evaluation of Mobile Heat Treatment System for Treating In-Field HLB-Affected Trees by Analyzing Survival Rate of Surrogate Bacteria

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