Topic · Date Palm Research Studies
Most cited papers in Date Palm Research Studies
What are the most cited papers in Date Palm Research Studies?
The most cited paper in Date Palm Research Studies is "Reducing Postharvest Losses during Storage of Grain Crops to Strengthen Food Security in Developing Countries" (Deepak Kumar, Prasanta Kumar Kalita, 2017), with 1,105 citations. Next come "Plant diseases and pests detection based on deep learning: a review" (1,010) and "Using Machine Learning to Identify Diseases and Perform Sorting in Apple Fruit" (964).
Showing 50 of 100 papers. Every paper with more than 259 citations is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | Reducing Postharvest Losses during Storage of Grain Crops to Strengthen Food Security in Developing Countries Deepak Kumar, Prasanta Kumar Kalita · Foods | 15 Jan 2017 | 1,105 |
| 2 | Plant diseases and pests detection based on deep learning: a review Jun Liu, Xuewei Wang · Plant Methods | 24 Feb 2021 | 1,010 |
| 3 | Using Machine Learning to Identify Diseases and Perform Sorting in Apple Fruit Arpit Patidar, Abir Chakravorty · International Journal of Innovative Science and Research Technology (IJISRT) | 25 Jul 2024 | 964 |
| 4 | Autonomous robotic weed control systems: A review David C. Slaughter, Durham Ken Giles, Daniel Downey · Computers and Electronics in Agriculture | 4 Sep 2007 | 839 |
| 5 | The fruit of the date palm: its possible use as the best food for the future? Walid Al‐Shahib, Richard James Marshall · International Journal of Food Sciences and Nutrition | 2003 | 805 |
| 6 | An overview on olive mill wastes and their valorisation methods A. Roig, María Luz Cayuela, Miguel Angel Sanchez-Monedero · Waste Management | 25 Oct 2005 | 772 |
| 7 | Nutritional and Functional Properties of Dates: A Review Mohamed Al-Farsi, Chang Yong Lee · Critical Reviews in Food Science and Nutrition | 21 Oct 2008 | 690 |
| 8 | The Date Palm (Phoenix dactylifera L.): Overview of Biology, Uses, and Cultivation Chih-Cheng T. Chao, Robert R. Krueger · HortScience | Aug 2007 | 675 |
| 9 | Plant species classification using deep convolutional neural network Mads Dyrmann, Henrik Karstoft, Henrik Skov Midtiby · Biosystems Engineering | 13 Sep 2016 | 651 |
| 10 | Monitoring plant diseases and pests through remote sensing technology: A review Jingcheng Zhang, Yanbo Huang, Ruiliang Pu et al. · Computers and Electronics in Agriculture | 20 Aug 2019 | 631 |
| 11 | Optimization of phenolics and dietary fibre extraction from date seeds Mohamed Al-Farsi, Chang Yong Lee · Food Chemistry | 8 Feb 2008 | 611 |
| 12 | Phenolic profile and antioxidant activity of the Algerian ripe date palm fruit (Phoenix dactylifera) Abdelhak Mansouri, Guendez Embarek, Eugene Kokkalou et al. · Food Chemistry | 13 Apr 2004 | 606 |
| 13 | Anopheles coluzzii and Anopheles amharicus, new members of the Anopheles gambiae complex Maureen Coetzee, Richard H. Hunt, Richard Charles Wilkerson et al. · Zootaxa | 27 Feb 2013 | 587 |
| 14 | Weed detection in soybean crops using ConvNets Alessandro dos Santos Ferreira, Daniel Matte Freitas, Gercina Gonçalves da Silva et al. · Computers and Electronics in Agriculture | 12 Nov 2017 | 584 |
| 15 | Sensors and systems for fruit detection and localization: A review Aleana Gongal, Suraj Amatya, Manoj Karkee et al. · Computers and Electronics in Agriculture | 18 Jun 2015 | 579 |
| 16 | Antimicrobial Activity of Some Egyptian Spice Essential Oils R. S. Farag, Z. Y. Daw, F. M. Hewedi et al. · Journal of Food Protection | Sep 1989 | 577 |
| 17 | Comparison of Antioxidant Activity, Anthocyanins, Carotenoids, and Phenolics of Three Native Fresh and Sun-Dried Date ( Phoenix dactylifera L.) Varieties Grown in Oman Mohamed Al-Farsi, Cesarettin Alasalvar, A. A. Morris et al. · Journal of Agricultural and Food Chemistry | 17 Aug 2005 | 565 |
| 18 | Antioxidant activity and phenolic content of various date palm (Phoenix dactylifera) fruits from Iran Foroogh Biglari, Abbas F.M. Alkarkhi, Azhar Mat Easa · Food Chemistry | 16 Oct 2007 | 563 |
| 19 | Detection of potato diseases using image segmentation and multiclass support vector machine Monzurul Islam, Anh Dinh, Khan A. Wahid et al. | Apr 2017 | 562 |
| 20 | Identification and recognition of rice diseases and pests using convolutional neural networks Chowdhury Rafeed Rahman, Preetom S. Arko, Mohammed Eunus Ali et al. · Biosystems Engineering | 10 Apr 2020 | 550 |
| 21 | IP102: A Large-Scale Benchmark Dataset for Insect Pest Recognition Xiaoping Wu, Chi Zhan, Yu‐Kun Lai et al. | Jun 2019 | 540 |
| 22 | Compositional and functional characteristics of dates, syrups, and their by-products Mohamed Al-Farsi, Cesarettin Alasalvar, M. Al-Abid et al. · Food Chemistry | 2007 | 532 |
| 23 | A review of the chemistry and pharmacology of the date fruits (Phoenix dactylifera L.) Manjeshwar Shrinath Baliga, Bantwal Raghavendra Vittaldas Baliga, Shaun M. Kandathil et al. · Food Research International | 16 Jul 2010 | 518 |
| 24 | Crop pest classification based on deep convolutional neural network and transfer learning K. Thenmozhi, U. Srinivasulu Reddy · Computers and Electronics in Agriculture | 7 Aug 2019 | 512 |
| 25 | Identification of Plant-Leaf Diseases Using CNN and Transfer-Learning Approach Sk Mahmudul Hassan, Arnab Kumar Maji, Michał Jasiński et al. · Electronics | 9 Jun 2021 | 497 |
| 26 | Image Segmentation for Fruit Detection and Yield Estimation in Apple Orchards Suchet Bargoti, James Underwood · Journal of Field Robotics | 9 Feb 2017 | 495 |
| 27 | Recent advances in image processing techniques for automated leaf pest and disease recognition – A review Lawrence C. Ngugi, Moataz Abelwahab, Mohammed M. Abo-Zahhad · Information Processing in Agriculture | 22 Apr 2020 | 494 |
| 28 | AI-powered banana diseases and pest detection Michael Gomez Selvaraj, Alejandro Perdomo Vergara, Henry Ruiz et al. · Plant Methods | 12 Aug 2019 | 450 |
| 29 | Faster R-CNN for multi-class fruit detection using a robotic vision system Shaohua Wan, Sotirios K. Goudos · Computer Networks | 3 Dec 2019 | 449 |
| 30 | Deep learning and computer vision in plant disease detection: a comprehensive review of techniques, models, and trends in precision agriculture Abhishek Upadhyay, Narendra Singh Chandel, Krishna Pratap Singh et al. · Artificial Intelligence Review | 17 Jan 2025 | 445 |
| 31 | Automation in Agriculture by Machine and Deep Learning Techniques: A Review of Recent Developments Muhammad Hammad Saleem, Johan Potgieter, Khalid Mahmood Arif · Precision Agriculture | 21 Apr 2021 | 432 |
| 32 | Deep Learning Based Oil Palm Tree Detection and Counting for High-Resolution Remote Sensing Images Weijia Li, Haohuan Fu, Le Yu et al. · Remote Sensing | 30 Dec 2016 | 431 |
| 33 | Development and evaluation of a low-cost and smart technology for precision weed management utilizing artificial intelligence Victor Partel, Sri Charan Kakarla, Yiannis G. Ampatzidis · Computers and Electronics in Agriculture | 11 Jan 2019 | 429 |
| 34 | De novo genome sequencing and comparative genomics of date palm (Phoenix dactylifera) Eman Al‐Dous, Binu George, Maryam E. Al‐Mahmoud et al. · Nature Biotechnology | 29 May 2011 | 420 |
| 35 | Date seeds: chemical composition and characteristic profiles of the lipid fraction Souhail Besbes, Christophe Blecker, Claude Deroanne et al. · Food Chemistry | 6 Nov 2003 | 410 |
| 36 | Deep Learning-Based Leaf Disease Detection in Crops Using Images for Agricultural Applications Jones Andrew, Jennifer Eunice, Daniela Elena Popescu et al. · Agronomy | 3 Oct 2022 | 407 |
| 37 | Early Detection and Classification of Tomato Leaf Disease Using High-Performance Deep Neural Network Naresh Kumar Trivedi, Vinay Gautam, Abhineet Anand et al. · Sensors | 30 Nov 2021 | 401 |
| 38 | A Review of Waste Management Options in Olive Oil Production Nuri Azbar, Abdurrahman Bayram, Ayşe Filibeli et al. · Critical Reviews in Environmental Science and Technology | 12 Apr 2004 | 399 |
| 39 | An in-field automatic wheat disease diagnosis system Jiang Lu, Jie Hu, Guannan Zhao et al. · Computers and Electronics in Agriculture | 25 Sep 2017 | 391 |
| 40 | First report of the fall armyworm, Spodoptera frugiperda (J E Smith) (Lepidoptera: Noctuidae), an alien invasive pest on maize in India Sharanabasappa Sharanabasappa, Chicknayakanahalli Marulsiddappa Kalleshwaraswamy, R. Asokan et al. · CGSPace A Repository of Agricultural Research Outputs (Consultative Group for International Agricultural Research) | 2018 | 386 |
| 41 | Date fruit ( Phoenix dactylifera L.): An underutilized food seeking industrial valorization Sami Ghnimi, Syed Umer, Azharul Karim et al. · NFS Journal | 12 Dec 2016 | 373 |
| 42 | The Complete Chloroplast Genome Sequence of Date Palm (Phoenix dactylifera L.) Meng Yang, Xiaowei Zhang, Guiming Liu et al. · PLoS ONE | 15 Sep 2010 | 373 |
| 43 | Antioxidant and Antimutagenic Properties of Aqueous Extract of Date Fruit ( Phoenix dactylifera L. Arecaceae) Praveen Kumar Vayalil · Journal of Agricultural and Food Chemistry | 2002 | 372 |
| 44 | A review of the issues and management of the red palm weevil Rhynchophorus ferrugineus (Coleoptera: Rhynchophoridae) in coconut and date palm during the last one hundred years J. R. Faleiro · International Journal of Tropical Insect Science | Sep 2006 | 371 |
| 45 | Plant disease detection and classification techniques: a comparative study of the performances Wubetu Barud Demilie · Journal Of Big Data | 2 Jan 2024 | 370 |
| 46 | A survey on using deep learning techniques for plant disease diagnosis and recommendations for development of appropriate tools Aanis Ahmad, Dharmendra Saraswat, Aly El Gamal · Smart Agricultural Technology | 16 Jun 2022 | 370 |
| 47 | Beneficial effects of virgin coconut oil on lipid parameters and in vitro LDL oxidation Kottayath Govindan Nevin, Thankappan Rajamohan · Clinical Biochemistry | 28 Jun 2004 | 370 |
| 48 | Valorization of date palm (Phoenix dactylifera) fruit processing by-products and wastes using bioprocess technology – Review M. Chandrasekaran, Ali Hassan Bahkali · Saudi Journal of Biological Sciences | 11 Jan 2013 | 360 |
| 49 | Current applications of citrus fruit processing waste: A scientific outlook Shweta Suri, Anupama Singh, Prabhat Kumar Nema · Applied Food Research | 27 Jan 2022 | 354 |
| 50 | Recognition and classification of paddy leaf diseases using Optimized Deep Neural network with Jaya algorithm S. Ramesh, D. Vydeki · Information Processing in Agriculture | 6 Sep 2019 | 353 |
Citations are OpenAlex's own counts, from its 2026-09-23 snapshot, so the ranking can differ from Google Scholar or Web of Science. A paper is listed for a field when OpenAlex files it under one of the field's topics; retracted papers and papers whose citation count cannot be traced to citing works are left out, and a preprint and the article it became are shown once. Release dates are OpenAlex's: where a source gave only a month or a year, that is what is shown. How the lists are chosen.