# Development of deep and machine learning convolutional networks of variable spatial resolution for automatic detection of leaf blast disease of rice

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/development-of-deep-and-machine-learning-convolutional-networks-of-variable/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Gagandeep Kaur,Rajni Rajni,Jagtar Singh Sivia |
| Citations | 22 |
| DOI | 10.1016/j.compag.2024.109210 |
| Fields | Agricultural and Biological Sciences,Chemistry,Environmental Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4400763397 |
| Type | article |
| Year | 2024 |

## Paper authors

- [Gagandeep Kaur](https://scholariq.org/researchers/gagandeep-kaur/)
- [Rajni Rajni](https://scholariq.org/researchers/rajni-rajni/)
- [Jagtar Singh Sivia](https://scholariq.org/researchers/jagtar-singh-sivia/)

## Paper journal

- [Computers and Electronics in Agriculture](https://scholariq.org/journals/computers-and-electronics-in-agriculture/)

## Paper primary topic

- [Smart Agriculture and AI](https://scholariq.org/topics/smart-agriculture-and-ai/)

## Paper topics

- [Smart Agriculture and AI](https://scholariq.org/topics/smart-agriculture-and-ai/)
- [Spectroscopy and Chemometric Analyses](https://scholariq.org/topics/spectroscopy-and-chemometric-analyses/)
- [Remote Sensing in Agriculture](https://scholariq.org/topics/remote-sensing-in-agriculture/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.