Article

Unveiling Nature's Code: Novel Approaches to Plant Leaf Feature Extraction

2025-03-11

Abstract excerpt

<title>Abstract</title> <p>Plants are indispensable in supporting biodiversity by serving as both habitats and food supplies for an extensive variety of creatures, strengthening the overall welfare of ecosystems. In agriculture, they serve as a vital sustenance reservoir for humans as well as animal populations, highlighting their critical contribution to global food security. They are highly significant in healt...

Topics

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

Identifiers and source

Literature Corpus work: fb04d51d-c34f-5bf6-964e-614377eb6809
DOI: 10.21203/rs.3.rs-6171409/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Unveiling Nature's Code: Novel Approaches to Plant Leaf Feature ExtractionDOI 10.21203/rs.3.rs-6171409/v1Read

A novel method for detecting morphologically similar crops and weeds based on the combination of contour masks and filtered Local Binary Pattern operators.Semantic proximity Read

Plant Leaf Disease Detection and Classification using Image Processing TechniquesSemantic proximity Read

A Deep Learning model for the identification of Potato leaf diseases using Wrapper Feature Selection and ConcatenationSemantic proximity Read

Advanced EfficientNetB3 based CNN for Multi-Class Plant Leaf Disease DetectionSemantic proximity Read

Detection of tomato disease using texture features and genetic bee colony algorithmSemantic proximity Read

Comparative assessment of feature selection and classification techniques for visual inspection of pot plant seedlingsSemantic proximity Read

Next-Generation Plant Disease Detection: A Efficient Approach to Plant Disease Identification with HW-CNNs and Wasserstein MetricsSemantic proximity Read

Towards Intelligent Disease Phenotyping in Peach: A Deep Feature Extraction Framework for Leaf Disease Detection Under Real Field ConditionsSemantic proximity Read

Automated leaf disease detection in different crop species through image features analysis and One Class ClassifiersSemantic proximity Read

Precision Agriculture-Based Pest Detection Solutions Using AI Algorithms Simulated with Complex Logic Gates Integration and 3D BioprintingSemantic proximity Read

Leaf epidermis images for robust identification of plants.Semantic proximity Read

Machine Learning and Computer Vision System for Phenotype Data Acquisition and Analysis in Plants.Semantic proximity Read