Deep learning for medicinal plant species classification and recognition: a systematic review
AK Mulugeta, DP Sharma, AH Mesfin - Frontiers in Plant Science, 2024 - frontiersin.org
Knowledge of medicinal plant species is necessary to preserve medicinal plants and
safeguard biodiversity. The classification and identification of these plants by botanist …
safeguard biodiversity. The classification and identification of these plants by botanist …
AI-driven pheno-parenting: a deep learning based plant phenotyping trait analysis model on a novel soilless farming dataset
Agriculture 4.0 will be data-driven and utilise modern technology in order to monitor plant life
cycles and traits, resulting in better yield. Pheno-parenting, a new concept, derives certain …
cycles and traits, resulting in better yield. Pheno-parenting, a new concept, derives certain …
Medicinal plant recognition from leaf images using deep learning
M Ariful Hassan, M Sydul Islam… - Computer Vision and …, 2022 - Springer
Recognition of medicinal plants is very important to enhance plant cultivation, boost
production in the medical industry as well as protect the plant species from extinction. The …
production in the medical industry as well as protect the plant species from extinction. The …
Comparative analysis of YOLO models for green coffee bean detection and defect classification
The quality and uniformity of green coffee beans significantly influence the overall flavor and
value of the product. In the coffee industry, automated flaws and bean-type identification …
value of the product. In the coffee industry, automated flaws and bean-type identification …
Multi-Attribute Deep CNN-Based Approach for Detecting Medicinal Plants and their Use for Skin Diseases
Skin health is a critical concern for humans, especially in geographical areas where
environmental conditions and lifestyle factors adversely affect their condition, leading to a …
environmental conditions and lifestyle factors adversely affect their condition, leading to a …
Adaptive snake optimization-enabled deep learning-based multi-classification using leaf images
V Singh, VD Kaushik - Signal, Image and Video Processing, 2024 - Springer
Plants role is crucial for the preservation of earth's environment and ecology by maintaining
healthy surroundings. Because of their proximity during the entire year, the leaves are …
healthy surroundings. Because of their proximity during the entire year, the leaves are …
Hybrid Deep Learning for Thai Cannabis Plant Classification: YOLO+ CNN Approach
Cannabis is a plant species with various subspecies, and its classification is vital for both
medical and regulatory purposes. In the context of Thailand, where cannabis has significant …
medical and regulatory purposes. In the context of Thailand, where cannabis has significant …
A Review: Classification and Detection Of Plants Diseases Using Machine Learning And Soft Computing Techniques
A Sharma, A Kumar - 2022 4th International Conference on …, 2022 - ieeexplore.ieee.org
This work contains an overview of leaf diseases discovery with numerous image
dispensation techniques. Digital image handing out is a reckless, consistent and accurate …
dispensation techniques. Digital image handing out is a reckless, consistent and accurate …
IoT-based Crop Monitoring and Disease Detection
SN Mohtasim, JJ Khan, MM Islam… - … for Industry 5.0 (STI), 2023 - ieeexplore.ieee.org
This study investigates the revolutionary potential of IoT in agriculture for disease diagnosis
and crop monitoring, intending to meet the pressing requirements of food demand and …
and crop monitoring, intending to meet the pressing requirements of food demand and …
The Rapid and Accurate Detection of Kidney Bean Seeds Based on a Compressed Yolov3 Model
Y Wang, H Bai, L Sun, Y Tang, Y Huo, R Min - Agriculture, 2022 - mdpi.com
Due to their rich nutritional value, kidney beans are considered one of the major products of
international agricultural trade. The conventional method used for the manual detection of …
international agricultural trade. The conventional method used for the manual detection of …