# Information Processing in Agriculture

**Type:** Journals  
**Canonical URL:** https://scholariq.org/journals/information-processing-in-agriculture/

## Facts

| Field | Value |
| --- | --- |
| APC (USD) | 2,000 |
| Citations | 22,461 |
| h-index | 74 |
| Homepage | https://www.journals.elsevier.com/information-processing-in-agriculture |
| Open Access | true |
| ISSN-L | 2214-3173 |
| ISSNs | 2214-3173 |
| OpenAlex ID | https://openalex.org/S2898269329 |
| Publisher | Elsevier BV |
| Works | 637 |

## Journal papers

- [Recent advances in image processing techniques for automated leaf pest and disease recognition – A review](https://scholariq.org/papers/recent-advances-in-image-processing-techniques-for-automated-leaf-pest-and/)
- [Automatic grape leaf diseases identification via UnitedModel based on multiple convolutional neural networks](https://scholariq.org/papers/automatic-grape-leaf-diseases-identification-via-unitedmodel-based-on-multiple/)
- [Maturity status classification of papaya fruits based on machine learning and transfer learning approach](https://scholariq.org/papers/maturity-status-classification-of-papaya-fruits-based-on-machine-learning-and/)
- [Advanced agricultural disease image recognition technologies: A review](https://scholariq.org/papers/advanced-agricultural-disease-image-recognition-technologies-a-review/)
- [ResTS: Residual Deep interpretable architecture for plant disease detection](https://scholariq.org/papers/rests-residual-deep-interpretable-architecture-for-plant-disease-detection/)
- [Innovative deep learning approach for cross-crop plant disease detection: A generalized method for identifying unhealthy leaves](https://scholariq.org/papers/innovative-deep-learning-approach-for-cross-crop-plant-disease-detection-a/)
- [Grading method of soybean mosaic disease based on hyperspectral imaging technology](https://scholariq.org/papers/grading-method-of-soybean-mosaic-disease-based-on-hyperspectral-imaging/)
- [A new approach to learning and recognizing leaf diseases from individual lesions using convolutional neural networks](https://scholariq.org/papers/a-new-approach-to-learning-and-recognizing-leaf-diseases-from-individual-lesions/)
- [Precision pest management in agriculture using Inception V3 and EfficientNet B4: A deep learning approach for crop protection](https://scholariq.org/papers/precision-pest-management-in-agriculture-using-inception-v3-and-efficientnet-b4/)

## Journal top topics

Showing 8 of 23.

- [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/)
- [Greenhouse Technology and Climate Control](https://scholariq.org/topics/greenhouse-technology-and-climate-control/)
- [Leaf Properties and Growth Measurement](https://scholariq.org/topics/leaf-properties-and-growth-measurement/)
- [Diverse Scientific and Economic Studies](https://scholariq.org/topics/diverse-scientific-and-economic-studies/)
- [Human auditory perception and evaluation](https://scholariq.org/topics/human-auditory-perception-and-evaluation/)
- [Educational Robotics and Engineering](https://scholariq.org/topics/educational-robotics-and-engineering/)

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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.