专题：Date Palm Research Studies

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.
最新文献
Using Machine Learning to Identify Diseases and Perform Sorting in Apple Fruit

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Is oral consumption of dates (Phoenix dactylifera L. fruit) in the peripartum period effective and safe integrative care to facilitate childbirth and improve perinatal outcomes: a comprehensive revised systematic review and dose-response meta-analysis

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Bioactive biopolymer films reinforced with cellulose nanocrystals and green-extracted polyphenols from date seeds for veal meat preservation

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Fusion of the deep networks for rapid detection of branch-infected aeroponically cultivated mulberries using multimodal traits

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Assessing the Physico-Mechanical Properties of Three Date Fruit Varieties for Conserving the Keeping and Appearance Qualities

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Valorizing Date Seeds into Biochar for Pesticide Removal: A Sustainable Approach to Agro-Waste-Based Wastewater Treatment

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Application of artificial intelligence in insect pest identification - A review

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Accelerating weed detection for smart agricultural sprayers using a Neural Processing Unit

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Swin Attention Augmented Residual Network: a fine-grained pest image recognition method

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Empowering Smart Soybean Farming with Deep Learning: Progress, Challenges, and Future Perspectives

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近5年高被引文献
Using Machine Learning to Identify Diseases and Perform Sorting in Apple Fruit

article Full Text OpenAlex 962 FWCI751.54916297

Plant diseases and pests detection based on deep learning: a review

review Full Text OpenAlex 837 FWCI99.16855271

Identification of Plant-Leaf Diseases Using CNN and Transfer-Learning Approach

article Full Text OpenAlex 435 FWCI55.21529828

Early Detection and Classification of Tomato Leaf Disease Using High-Performance Deep Neural Network

article Full Text OpenAlex 347 FWCI46.14309629

Automation in Agriculture by Machine and Deep Learning Techniques: A Review of Recent Developments

review Full Text OpenAlex 342 FWCI38.00939796

Channel pruned YOLO V5s-based deep learning approach for rapid and accurate apple fruitlet detection before fruit thinning

article Full Text OpenAlex 296 FWCI37.22731159

Deep Learning-Based Leaf Disease Detection in Crops Using Images for Agricultural Applications

article Full Text OpenAlex 296 FWCI52.59959813

Current applications of citrus fruit processing waste: A scientific outlook

article Full Text OpenAlex 285 FWCI33.16884967

A survey on using deep learning techniques for plant disease diagnosis and recommendations for development of appropriate tools

article Full Text OpenAlex 278 FWCI49.40097392

A Lightweight YOLOv8 Tomato Detection Algorithm Combining Feature Enhancement and Attention

article Full Text OpenAlex 266 FWCI70.27194187