# Triveni Mohan Sadala

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/triveni-mohan-sadala/

## Facts

| Field | Value |
| --- | --- |
| Citations | 4 |
| Field | Smart Agriculture and AI |
| h-index | 1 |
| i10-index | 0 |
| OpenAlex ID | https://openalex.org/A5092924530 |
| Works | 5 |

## Researcher papers

- [Deep Learning-Based Early Detection of Crop Diseases Using Leaf Image Analysis in Smart Agricultural Systems](https://scholariq.org/papers/deep-learning-based-early-detection-of-crop-diseases-using-leaf-image-analysis/)
- [Deep Neural Networks For Precision Agriculture: Automatic Classification Of Farmland From Satellite Imagery](https://scholariq.org/papers/deep-neural-networks-for-precision-agriculture-automatic-classification-of/)
- [Violation of Traffic Rules and Detection of Sign Boards](https://scholariq.org/papers/violation-of-traffic-rules-and-detection-of-sign-boards/)
- [RETRACTED ARTICLE: Optoelectronic device based failure management using content based multispectral image retrieval and deep learning model](https://scholariq.org/papers/retracted-article-optoelectronic-device-based-failure-management-using-content/)
- [Retraction Note: Optoelectronic device based failure management using content based multispectral image retrieval and deep learning model](https://scholariq.org/papers/retraction-note-optoelectronic-device-based-failure-management-using-content/)

## Researcher topics

- [Smart Agriculture and AI](https://scholariq.org/topics/smart-agriculture-and-ai/)
- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)
- [Handwritten Text Recognition Techniques](https://scholariq.org/topics/handwritten-text-recognition-techniques/)
- [Remote-Sensing Image Classification](https://scholariq.org/topics/remote-sensing-image-classification/)
- [Industrial Vision Systems and Defect Detection](https://scholariq.org/topics/industrial-vision-systems-and-defect-detection/)

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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.