Applied Fruit Science

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Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Agricultural and Biological Sciences, designed to support cutting-edge academic discovery.

Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Olive Oil Production Forecasts for a Macro Perspective during 2024–2027

  Citation: 13

  Authors: Seval, Ahmet Semih, Elif

• Determination of Energy Use Efficiency, Greenhouse Gas Emissions and Production Costs in Organic Table Grape Production in Turkey

  Citation: 9

  Authors: Kemalettin, Zeki, Osman, Osman

• Optimizing Pear Leaf Disease Detection Through PL-DenseNet

  Citation: 8

  Authors: Yonis, Zeynep

• Impact of Chitosan-Melatonin Composite Coating on Postharvest Quality of Sweet Cherry

  Citation: 8

  Authors: Erdinc

• Unveiling Intricacies of Mango Malformation Dynamics Caused by Fusarium solani Through Extensive Field Surveys and Laboratory, Epidemiology, and Model-Based Insights

  Citation: 7

  Authors: Talha, Muhammad Nasir, Muhammad Tariq, Ammarah, Aqleem, Abdulwahed Fahad, Haider, Muhammad Zeeshan, Syed Atif Hasan

• Türkiye’s Competitive Power in the World Hazelnut Market

  Citation: 7

  Authors: Çağatay, Mehmet, Gutama Girja

• A Multi-objective Apple Leaf Disease Detection Algorithm Based on Improved TPH-YOLOV5

  Citation: 7

  Authors: Fengmei, Yuhui, Song, Fengbo, Haoran

• E-AppleNet: An Enhanced Deep Learning Approach for Apple Fruit Leaf Disease Classification

  Citation: 7

  Authors: Ameen, Ali, Marriam, Hussain

• Application and Prospects of Artificial Intelligence (AI)-Based Technologies in Fruit Production Systems

  Citation: 7

  Authors: Sudip Kumar, Birshika, Tanuj, V. K., S. K., V. B.

• Screening of Drought-tolerant Grape Cultivars Using Multivariate Discrimination Based On Physiological, Biochemical and Anatomical Traits

  Citation: 7

  Authors: Yaser, Hassan, Mansour, Hadi Darzi, Abdolkarim Chehregani