Andere Kunden interessierten sich auch für
![Hybrid Approach for Shot Boundary Detection Based on Machine Learning]( "Hybrid Approach for Shot Boundary Detection Based on Machine Learning")
Hybrid Approach for Shot Boundary Detection Based on Machine Learning60,99 €![Detection and Classification of Plant Leaf Diseases]( "Detection and Classification of Plant Leaf Diseases")
Detection and Classification of Plant Leaf Diseases27,99 €![Identificazione delle foglie delle piante ayurvediche basata sul machine learning]( "Identificazione delle foglie delle piante ayurvediche basata sul machine learning")
Identificazione delle foglie delle piante ayurvediche basata sul machine learning29,99 €![Implementation of Plant Leaf Disease Detection Using Beagle Bone]( "Implementation of Plant Leaf Disease Detection Using Beagle Bone")
Implementation of Plant Leaf Disease Detection Using Beagle Bone24,99 €![Analysis of Leaf Diseases using Image Superresolution Techniques]( "Analysis of Leaf Diseases using Image Superresolution Techniques")
Analysis of Leaf Diseases using Image Superresolution Techniques34,99 €![Decoding EEG Brain Signals using Recurrent Neural Networks]( "Decoding EEG Brain Signals using Recurrent Neural Networks")
Decoding EEG Brain Signals using Recurrent Neural Networks42,95 €![IOT Medical Applications]( "IOT Medical Applications")
IOT Medical Applications34,99 €
Ayurvedic plant leaf identification will become increasingly important as more people resort to alternative and natural medicines. Machine learning-based Ayurvedic plant leaf identification is a novel technique that could completely change Ayurvedic medicine practices. Accurately identifying and categorising plant species can aid in improved disease control and treatment. To overcome these obstacles and guarantee the precision and dependability of the outcomes, more research and development in this area is necessary. Ayurveda has the potential to flourish and support individuals in leading healthier, more balanced lives by combining ancient knowledge with modern technologies.