# Precision Agriculture

**Type:** Journals  
**Canonical URL:** https://scholariq.org/journals/precision-agriculture/

## Facts

| Field | Value |
| --- | --- |
| Open Access | false |
| ISSN-L | 1385-2256 |
| ISSNs | 1385-2256,1573-1618 |
| OpenAlex ID | https://openalex.org/S42419699 |
| Publisher | Springer Science+Business Media |

## Journal papers

- [Automation in Agriculture by Machine and Deep Learning Techniques: A Review of Recent Developments](https://scholariq.org/papers/automation-in-agriculture-by-machine-and-deep-learning-techniques-a-review-of/)
- [Identification of yellow rust in wheat using in-situ spectral reflectance measurements and airborne hyperspectral imaging](https://scholariq.org/papers/identification-of-yellow-rust-in-wheat-using-in-situ-spectral-reflectance/)
- [Design and field evaluation of a ground robot for high-throughput phenotyping of energy sorghum](https://scholariq.org/papers/design-and-field-evaluation-of-a-ground-robot-for-high-throughput-phenotyping-of/)
- [Grape leaf disease identification with sparse data via generative adversarial networks and convolutional neural networks](https://scholariq.org/papers/grape-leaf-disease-identification-with-sparse-data-via-generative-adversarial/)
- [Integrating NDVI and agronomic data to optimize the variable-rate nitrogen fertilization](https://scholariq.org/papers/integrating-ndvi-and-agronomic-data-to-optimize-the-variable-rate-nitrogen/)
- [Correction to: Automation in Agriculture by Machine and Deep Learning Techniques: A Review of Recent Developments](https://scholariq.org/papers/correction-to-automation-in-agriculture-by-machine-and-deep-learning-techniques/)

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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.