# Date Palm Research Studies

**Type:** Topics  
**Canonical URL:** https://scholariq.org/topics/date-palm-research-studies/

## Facts

| Field | Value |
| --- | --- |
| Description | This cluster of papers focuses on the comprehensive study of date palm (Phoenix dactylifera), covering its antioxidant activity, phenolic profile, nutritional composition, genome sequencing, functional properties, medicinal food potential, chemical composition, anticancer activity, metabolomic analysis, and pest management. |
| Domain | Life Sciences |
| Field | Agricultural and Biological Sciences |
| OpenAlex ID | t12894 |
| Works | 120 |

## Topic papers all

Showing 15 of 120.

- [Monitoring plant diseases and pests through remote sensing technology: A review](https://scholariq.org/papers/monitoring-plant-diseases-and-pests-through-remote-sensing-technology-a-review/)
- [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/)
- [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/)
- [Early Detection and Classification of Tomato Leaf Disease Using High-Performance Deep Neural Network](https://scholariq.org/papers/early-detection-and-classification-of-tomato-leaf-disease-using-high-performance/)
- [Deep learning and computer vision in plant disease detection: a comprehensive review of techniques, models, and trends in precision agriculture](https://scholariq.org/papers/deep-learning-and-computer-vision-in-plant-disease-detection-a-comprehensive/)
- [Bioactive compounds from date fruit and seed as potential nutraceutical and functional food ingredients](https://scholariq.org/papers/bioactive-compounds-from-date-fruit-and-seed-as-potential-nutraceutical-and/)
- [A comprehensive review on detection of plant disease using machine learning and deep learning approaches](https://scholariq.org/papers/a-comprehensive-review-on-detection-of-plant-disease-using-machine-learning-and/)
- [A citrus fruits and leaves dataset for detection and classification of citrus diseases through machine learning](https://scholariq.org/papers/a-citrus-fruits-and-leaves-dataset-for-detection-and-classification-of-citrus/)
- [Skin Lesion Segmentation and Multiclass Classification Using Deep Learning Features and Improved Moth Flame Optimization](https://scholariq.org/papers/skin-lesion-segmentation-and-multiclass-classification-using-deep-learning/)
- [A novel deep learning method for detection and classification of plant diseases](https://scholariq.org/papers/a-novel-deep-learning-method-for-detection-and-classification-of-plant-diseases/)
- [Crop pest recognition in natural scenes using convolutional neural networks](https://scholariq.org/papers/crop-pest-recognition-in-natural-scenes-using-convolutional-neural-networks/)
- [Do we really need deep CNN for plant diseases identification?](https://scholariq.org/papers/do-we-really-need-deep-cnn-for-plant-diseases-identification/)
- [Comparison of convolutional neural networks in fruit detection and counting: A comprehensive evaluation](https://scholariq.org/papers/comparison-of-convolutional-neural-networks-in-fruit-detection-and-counting-a/)
- [High-Performance Deep Neural Network-Based Tomato Plant Diseases and Pests Diagnosis System With Refinement Filter Bank](https://scholariq.org/papers/high-performance-deep-neural-network-based-tomato-plant-diseases-and-pests/)
- [A Deep Neural Network based disease detection scheme for Citrus fruits](https://scholariq.org/papers/a-deep-neural-network-based-disease-detection-scheme-for-citrus-fruits/)

## Topic primary papers

- [Bioactive compounds from date fruit and seed as potential nutraceutical and functional food ingredients](https://scholariq.org/papers/bioactive-compounds-from-date-fruit-and-seed-as-potential-nutraceutical-and/)
- [Advanced Mango Leaf Disease Detection and Severity Analysis with Federated Learning and CNN](https://scholariq.org/papers/advanced-mango-leaf-disease-detection-and-severity-analysis-with-federated/)
- [Advancing Agricultural Practices: Federated Learning-based CNN for Mango Leaf Disease Detection](https://scholariq.org/papers/advancing-agricultural-practices-federated-learning-based-cnn-for-mango-leaf/)
- [Recognition and counting of typical apple pests based on deep learning](https://scholariq.org/papers/recognition-and-counting-of-typical-apple-pests-based-on-deep-learning/)
- [Review on the effects of palm date consumption on safe labor: An Islamic recommendation](https://scholariq.org/papers/review-on-the-effects-of-palm-date-consumption-on-safe-labor-an-islamic/)
- [கறவ மடகளத தககம மட நயம தடபப மறகளம - ஒர உரயடல](https://scholariq.org/papers/w3004375648/)

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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.