Digital Photogrammetry for Fruit Disease Identification
| Autor: | V. Dhivya Dharshini, G. Saranya, B. Vidhya, M. Divya Kamala Bharathi |
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| Rok vydání: | 2020 |
| Předmět: | |
| Zdroj: | IOP Conference Series: Materials Science and Engineering. 994:012009 |
| ISSN: | 1757-899X 1757-8981 |
| Popis: | Nowadays horticulture takes about 25% of the agriculture enterprise that has a excellent impact in the fruits field. Effective growth of crops and improved field culture must be incorporated to insure honest yield. To achieve that farmers need an environment friendly monitoring system. Farmers find it difficult to discover fruit ailment and its cause. Also, fruits are more prone to get infection in the course of cultivation, due to changing environmental condition and climate. The previous method concerning detecting fruit ailment was once more time ingesting and failed to supply information regarding the type of disease. Using the proposed fruit ailment discovery system, the agriculturist can determine the kind of the disease, and find preventive measures or suggestions. Image processing techniques are used for the enhancement of the received images. Then, convolution neural network has been used to make the model learn and classify the fruits and its disease. This system will benefit farmers across India. |
| Databáze: | OpenAIRE |
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