# AgriEngineering

**Type:** Journals  
**Canonical URL:** https://scholariq.org/journals/agriengineering/

## Facts

| Field | Value |
| --- | --- |
| APC (USD) | 1,559 |
| Citations | 10,775 |
| h-index | 39 |
| Homepage | https://www.mdpi.com/journal/agriengineering |
| Open Access | true |
| ISSN-L | 2624-7402 |
| ISSNs | 2624-7402 |
| OpenAlex ID | https://openalex.org/S4210177564 |
| Publisher | Multidisciplinary Digital Publishing Institute |
| Works | 1,415 |

## Journal papers

- [Automatic and Reliable Leaf Disease Detection Using Deep Learning Techniques](https://scholariq.org/papers/automatic-and-reliable-leaf-disease-detection-using-deep-learning-techniques/)
- [Opportunities for Robotic Systems and Automation in Cotton Production](https://scholariq.org/papers/opportunities-for-robotic-systems-and-automation-in-cotton-production/)
- [Recognition of Strawberry Powdery Mildew in Complex Backgrounds: A Comparative Study of Deep Learning Models](https://scholariq.org/papers/recognition-of-strawberry-powdery-mildew-in-complex-backgrounds-a-comparative/)
- [A Smart AIoT-Based Mobile Application for Plant Disease Detection and Environment Management in Small-Scale Farms Using MobileViT](https://scholariq.org/papers/a-smart-aiot-based-mobile-application-for-plant-disease-detection-and/)
- [Agri-DSSA: A Dual Self-Supervised Attention Framework for Multisource Crop Health Analysis Using Hyperspectral and Image-Based Benchmarks](https://scholariq.org/papers/agri-dssa-a-dual-self-supervised-attention-framework-for-multisource-crop-health/)
- [Deep Learning-Driven Plant Pathology Assistant: Enabling Visual Diagnosis with AI-Powered Focus and Remediation Recommendations for Precision Agriculture](https://scholariq.org/papers/deep-learning-driven-plant-pathology-assistant-enabling-visual-diagnosis-with-ai/)

## Journal top topics

Showing 8 of 22.

- [Smart Agriculture and AI](https://scholariq.org/topics/smart-agriculture-and-ai/)
- [Remote Sensing in Agriculture](https://scholariq.org/topics/remote-sensing-in-agriculture/)
- [Spectroscopy and Chemometric Analyses](https://scholariq.org/topics/spectroscopy-and-chemometric-analyses/)
- [Greenhouse Technology and Climate Control](https://scholariq.org/topics/greenhouse-technology-and-climate-control/)
- [Soil Geostatistics and Mapping](https://scholariq.org/topics/soil-geostatistics-and-mapping/)
- [Leaf Properties and Growth Measurement](https://scholariq.org/topics/leaf-properties-and-growth-measurement/)
- [Plant Surface Properties and Treatments](https://scholariq.org/topics/plant-surface-properties-and-treatments/)
- [Remote Sensing and LiDAR Applications](https://scholariq.org/topics/remote-sensing-and-lidar-applications/)

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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.