| Autor: |
Bala, Madhu, Mehan, Vineet |
| Zdroj: |
ECS Transactions; April 2022, Vol. 107 Issue: 1 |
| Abstrakt: |
Agriculture plays an important role in the economic development of a country. If proper care is given to the growth of crops, it returns to the efforts put in by farmers throughout the year. However, since past few years it is observed that the quality and production of crops are degrading due to the diseases caused by some biotic and abiotic agents. It is deemed necessary to detect crop diseases in time. Conventional methods of identifying a crop disease require a dedicated individual or an expert who can manually detect such diseases. But it is very time consuming process and increases the cost too. Here arises the need to develop automated systems that cannot only detect the plant diseases but saves time and cost. This manuscript will reflect the comparative analysis of classification techniques in terms of accuracies and will help the researchers to identify best practices for their research so as to enhance the efficiency and accuracy of diseases detection systems being developed. |
| Databáze: |
Supplemental Index |
| Externí odkaz: |
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