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juancarlosmiranda/README.md

Hi, my name is Juan Carlos Miranda. During my PhD, my work focused on the application of photonic sensors, computer vision and fruit load estimation in apple trees.

Guides / How To's

Some notes.

Resources Description
Azure Kinect camera setup (automated scripts for Linux and Windows) Ready-to-use installation scripts (https://github.com/juancarlosmiranda/azure_kinect_notes.
ResearchGate - Azure Kinect camera information resources Question open in ResearchGate about Azure Kinect DK camera.

Publications/ articles

Resources Description
Fruit sizing using AI: A review of methods and challenges https://doi.org/10.1016/j.postharvbio.2023.112587 Artificial intelligence Fruit detection Fruit measure Image processing Deep learning Fruit quality
Assessing automatic data processing algorithms for RGB-D cameras to predict fruit size and weight in apples https://doi.org/10.1016/j.compag.2023.108302 Azure Kinect Fruit sizing Allometric weight models Apple tree Digital fruit growing
AKFruitData: A dual software application for Azure Kinect cameras to acquire and extract informative data in yield tests performed in fruit orchard environments https://doi.org/10.1016/j.softx.2022.101231 RGB-D camera Data acquisition Data extraction Fruit yield trials Precision fructiculture
AKFruitYield: Modular benchmarking and video analysis software for Azure Kinect cameras for fruit size and fruit yield estimation in apple orchards https://doi.org/10.1016/j.softx.2023.101548 RGB-D camera Fruit detection Apple fruit sizing Yield prediction Allometry
CLASIFICACIÓN AUTOMÁTICA DE NARANJAS POR TAMAÑO Y POR DEFECTOS UTILIZANDO TÉCNICAS DE VISIÓN POR COMPUTADORA https://repositorio.conacyt.gov.py/handle/20.500.14066/3172 Orange classification by computer vision in controled environments. Github repository: https://github.com/juancarlosmiranda/orange_classification/
Open source software and benchmarking of computer vision algorithms for apple fruit detection, fruit sizing and yield prediction using RGB-D cameras Doctoral thesis URI: http://hdl.handle.net/10803/690455, https://repositori.udl.cat/handle/10459.1/465456, https://dx.doi.org/10.13140/RG.2.2.27765.18406
. . .

Software packages

Currently maintaining software packages at (Pypi.org)[https://pypi.org].

Package Description
AK_ACQS_100 AK_ACQS Azure Kinect Acquisition System (https://github.com/GRAP-UdL-AT/ak_acquisition_system) AK_ACQS is a software solution for data acquisition in fruit orchards using a sensor system boarded on a terrestrial vehicle. It allows the coordination of computers and sensors through the sending of remote commands via a GUI. At the same time, it adds an abstraction layer on library stack of each sensor, facilitating its integration. This software solution is supported by a local area network (LAN), which connects computers and sensors from different manufacturers ( cameras of different technologies, GNSS receiver) for in-field fruit yield testing.
AK_SM_RECORDER_100 AK_SM_RECORDER - Azure Kinect Standalone Mode (https://pypi.org/project/ak-sm-recorder/) A simple GUI recorder based on Python to manage Azure Kinect camera devices in a standalone mode.
AK_FRAEX_100 AK_FRAEX - Azure Kinect Frame Extractor (https://pypi.org/project/ak-frame-extractor/) AK_FRAEX is a desktop tool created for post-processing tasks after field acquisition. It enables the extraction of information from videos recorded in MKV format with the Azure Kinect camera. Through a GUI, the user can configure initial parameters to extract frames and automatically create the necessary metadata for a set of images.
AK_SW_BENCHMARKER_100 AK_SW_BENCHMARKER - Azure Kinect Size Estimation & Weight Prediction Benchmarker (https://pypi.org/project/ak-sw-benchmarker/) Python based GUI tool for fruit size estimation and weight prediction.
AK_VIDEO_ANALYSER_100 AK_VIDEO_ANALYSER - Azure Kinect Video Analyser (https://pypi.org/project/ak-video-analyser/) Python based GUI tool for fruit size estimation and weight prediction from videos.

Azure Kinect DK data and information - demo videos

Currently maintaining software packages at (Pypi.org)[https://pypi.org].

Resource Description
AK_FRAEX - Azure Kinect Frame Extractor demo videos Video samples recorded in the field using the Azure Kinect DK. These videos are part of the https://pypi.org/project/ak-frame-extractor/ software to demonstrate the use of frame extraction tasks.

Pinned

  1. azure_kinect_notes azure_kinect_notes Public

    This document contains instructions/notes on how to install the Azure Kinect camera. Here I collected experiences that have arisen during the development of the following software for Azure Kinect …

    Shell 28 4

  2. packaging_tutorial packaging_tutorial Public

    Packaging tutorial, adapted to Tkinter app

    Python

  3. shell_scripts_notes shell_scripts_notes Public

    This repository contains notes and examples related to programming with Bash and Shell script in Unix like systems.

    Shell

  4. python_code_recipes python_code_recipes Public

    Python code recipes

    Python

  5. object_detector_tutorial object_detector_tutorial Public

    This folder contains data and various code samples related to using object detectors and object segmentation.

    Python 1

  6. orange_classification orange_classification Public

    In this work, an automatic and reproducible methodology is proposed using computer vision techniques for sorting oranges by size and defects. Master thesis written in Spanish.

    MATLAB