CNN algorithm for plant classification in deep learning
| Autor: | S. Dhanasekar, R. Sivasankari, V. Subashini, Su. Suganthi, G. Valarmathi, R. Janaki |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
010302 applied physics
Point (typography) business.industry Computer science Deep learning 02 engineering and technology 021001 nanoscience & nanotechnology Machine learning computer.software_genre Plant taxonomy 01 natural sciences Field (computer science) Knn classifier 0103 physical sciences Expulsion (procedure) sort Artificial intelligence 0210 nano-technology business computer Classifier (UML) |
| Zdroj: | Materials Today: Proceedings. 46:3684-3689 |
| ISSN: | 2214-7853 |
| Popis: | The prior methodology of characterizing the plants for dependent on surface based order and another strategy depends on KNN classifier. This paper presents qualities examination of plants utilizing picture preparing methods for robotized vision framework utilized at horticultural field. In farming examination, the programmed plant attributes recognition is fundamental one in observing huge field. The proposed dynamic framework uses picture content portrayal and regulated classifier sort of neural organization. This will naturally distinguish the plant species when we import its picture as info. Picture preparing strategies for this sort of choice investigation includes pre-processing and characterization stage. At Processing, an info picture will be resized and commotion expulsion procedure is applied. At definite stage the neural organization orders the pictures as farming plant, harmful plant and therapeutic plant separately. At that point it will show the attributes of each plant. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full Text from ScienceDirect