Deepak Gautam

Lecturer

Charles Darwin University

Australia

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About

Deepak Gautam is a Lecturer at Charles Darwin University, Australia. His research areas include remote sensing, machine learning applications in agriculture, and the detection of invasive species. Recent publications focus on innovative techniques such as drone-based imaging, deep learning models, and the integration of various data types to enhance agricultural predictions and disease detection.

Articles (11)

Year:

2025

Year:

2024

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2024

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2024

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2024

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2022

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2022

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2021

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2020

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2020

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2020

Collaborators (3)

Stephen Tyerman

Emeritus Professor

University of Adelaide

AUSTRALIA

View details

Vinay Pagay

Lecturer

University of Adelaide

AUSTRALIA

View details

Bertram Ostendorf

A/Prof

University of Adelaide Faculty of Sciences

AUSTRALIA

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Deepak Gautam

Research Interests

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Contact this professor

About

Articles (11)

Detection of Invasive Species (Siam Weed) Using Drone-Based Imaging and YOLO Deep Learning Model

Can Multi-Temporal Vegetation Indices and Machine Learning Algorithms Be Used for Estimation of Groundnut Canopy State Variables?

Classifying Serrated Tussock Cover from Aerial Imagery Using RGB Bands, RGB Indices, and Texture Features

Integrating Hyperspectral, Thermal, and Ground Data with Machine Learning Algorithms Enhances the Prediction of Grapevine Yield and Berry Composition

Utilization of Remote Sensing Dataset and a Deep Learning Object Detection Model to Map Siam Weed Infestations

Plant Viral Disease Detection: From Molecular Diagnosis to Optical Sensing Technology—A Multidisciplinary Review

The feasibility of using a low-cost near-infrared, sensitive, consumer-grade digital camera mounted on a commercial UAV to assess Bambara groundnut yield

Estimation of Grapevine Crop Coefficient Using a Multispectral Camera on an Unmanned Aerial Vehicle

Footprint Determination of a Spectroradiometer Mounted on an Unmanned Aircraft System

Solar-Induced Chlorophyll Fluorescence Measured From an Unmanned Aircraft System: Sensor Etaloning and Platform Motion Correction

A Review of Current and Potential Applications of Remote Sensing to Study the Water Status of Horticultural Crops

Collaborators (3)

Stephen Tyerman

Vinay Pagay

Bertram Ostendorf

Make your next move.

Deepak Gautam

Research Interests

Explore related searches

Contact this professor

About

Articles (11)

Detection of Invasive Species (Siam Weed) Using Drone-Based Imaging and YOLO Deep Learning Model

Can Multi-Temporal Vegetation Indices and Machine Learning Algorithms Be Used for Estimation of Groundnut Canopy State Variables?

Classifying Serrated Tussock Cover from Aerial Imagery Using RGB Bands, RGB Indices, and Texture Features

Integrating Hyperspectral, Thermal, and Ground Data with Machine Learning Algorithms Enhances the Prediction of Grapevine Yield and Berry Composition

Utilization of Remote Sensing Dataset and a Deep Learning Object Detection Model to Map Siam Weed Infestations

Plant Viral Disease Detection: From Molecular Diagnosis to Optical Sensing Technology&mdash;A Multidisciplinary Review

The feasibility of using a low-cost near-infrared, sensitive, consumer-grade digital camera mounted on a commercial UAV to assess Bambara groundnut yield

Estimation of Grapevine Crop Coefficient Using a Multispectral Camera on an Unmanned Aerial Vehicle

Footprint Determination of a Spectroradiometer Mounted on an Unmanned Aircraft System

Solar-Induced Chlorophyll Fluorescence Measured From an Unmanned Aircraft System: Sensor Etaloning and Platform Motion Correction

A Review of Current and Potential Applications of Remote Sensing to Study the Water Status of Horticultural Crops

Collaborators (3)

Stephen Tyerman

Vinay Pagay

Bertram Ostendorf

Make your next move.

Plant Viral Disease Detection: From Molecular Diagnosis to Optical Sensing Technology—A Multidisciplinary Review