Article

Deep Learning for Mango (<em>Mangifera Indica</em>) Panicle Stage Classification

2019-12-12

Abstract excerpt

A pixel-based segmentation method was demonstrated to be confounded by developmental stage in estimation of flowering of mango. Categorization of panicles into three developmental stages was undertaken with a single and a two-stage deep learning framework (YOLO and R2CNN), using either upright or rotated bounding boxes. For a validation image set and for total panicle count, the models MangoYOLO(-upright), MangoYO...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 471763c8-78f2-5f49-9940-c1e418f40006
DOI: 10.20944/preprints201912.0160.v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Deep Learning for Mango (<em>Mangifera Indica</em>) Panicle Stage ClassificationDOI 10.20944/preprints201912.0160.v1Read

A new machine learning mango damage segmentation dataset and application modelsSemantic proximity Read

Detection of Growth Stages of Chilli Plants in a Hydroponic Grower Using Machine Vision and YOLOv8 Deep Learning AlgorithmsSemantic proximity Read

Machine Learning for Image Analysis: Leaf Disease Segmentation.Semantic proximity Read

Labeled temperate hardwood tree stomatal image datasets from seven taxa of Populus and 17 hardwood species.Semantic proximity Read

PhenoVision: A framework for automating and delivering research-ready plant phenology data from field imagesSemantic proximity Read

Intelligent high-throughput recognition model for bitter gourd fruit morphology and tubercle characteristics.Semantic proximity Read

Deep Learning in Precision Phytopathology: A Comprehensive Survey of CNN Architectures for Disease Detection and Severity QuantificationSemantic proximity Read

Automatic Detection, Quantification and Classification Method for Plant Foliar Diseases Based on Deep LearningSemantic proximity Read

DeepPod: a convolutional neural network based quantification of fruit number in Arabidopsis.Semantic proximity Read

GuavaVision AI: An Explainable Deep Learning Framework for Automated Classification, Lesion Localization, and Segmentation of Guava DiseasesSemantic proximity Read

Automated Counting Grains on the Rice Panicle Based on Deep Learning Method.Semantic proximity Read

High-throughput image segmentation and machine learning approaches in the plant sciences across multiple scales.Semantic proximity Read