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TOFAEL AHAMED

Ahamed, Tofael

生命環境系 , 准教授
Institute of Life and Environmental Sciences , Associate Professor

http://tofael.org

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  1. 1. Development of an autonomous navigation system for orchard spraying robots integrating a thermal camera and LiDAR using a deep learning algorithm under low- and no-light conditions TOFAEL, Ahamed; Jiang, Ailian
      Computer and Electronics in Agriculture 235: (2025)
  2. 2. Development of a Collision-Free Path Planning Method for a 6-DoF Orchard Harvesting Manipulator Using RGB-D Camera and Bi-RRT Algorithm Liu, Zifu; Sampurno, Rizky Mulya; Abeyrathna; R. M. Rasika D. (+2 著者) Ahamed, Tofael
      SENSORS 24: (2024)
  3. 3. Coffee Leaf Rust Disease Detection and Implementation of an Edge Device for Pruning Infected Leaves via Deep Learning Algorithms Araaf, Raka Thoriq; Minn, Arkar; Ahamed, Tofael
      SENSORS 24: (2024)
  4. 4. Development of a Machine stereo vision-based autonomous navigation system for orchard speed sprayers Nakaguchi; Victor Massaki; Abeyrathna; R. M. Rasika D. (+2 著者) Ahamed, Tofael
      COMPUTERS AND ELECTRONICS IN AGRICULTURE 227: (2024)
  5. 5. Development of a new grading system for quail eggs using a deep learning-based machine vision system Nakaguchi; Victor Massaki; Abeyrathna; R. M. Rasika D.Ahamed, Tofael
      COMPUTERS AND ELECTRONICS IN AGRICULTURE 226: (2024)
  6. 6. Driveway Detection for Weed Management in Cassava Plantation Fields in Thailand Using Ground Imagery Datasets and DeepLearning Models Ahamed, TOFAEL
      AGRIENGINEERING 6: (2024)
  7. 7. Driveway Detection for Weed Management in Cassava Plantation Fields in Thailand Using Ground Imagery Datasets and Deep Learning Models Opasatian, Ithipha; Ahamed, Tofael
      AGRIENGINEERING 6: 3408 (2024)
  8. 8. Rapid Analysis of Soil Organic Carbon in Agricultural Lands: Potential of Integrated Image Processing and Infrared Spectroscopy Senevirathne; Nelundeniyage Sumuduni L.; Ahamed, TOFAEL
      AgriEngineering 6: 3001 (2024)
  9. 9. Nutrispace: A novel color space to enhance deep learning based early detection of cucurbits nutritional deficiency Orka, Nabil Anan; Haque, Ehtashamul; Uddin, M. Nazim; Ahamed, TOFAEL
      COMPUTERS AND ELECTRONICS IN AGRICULTURE 225: (2024)
  10. 10. Faster-YOLO-AP: A Lightweight Apple Detection Algorithm Based on Improved YOLOv8 with A New Efficient PDWConv in Orchard Liu, Zifu; Sampurno, Rizky Mulya; Nakaguchi, Victor Massaki; Ahamed, TOFAEL
      COMPUTERS AND ELECTRONICS IN AGRICULTURE 223: (2024)
  11. 11. Machine learning system to assess rice crop change detection from satellite-derived RGVI due to tropical cyclones using remote sensing dataset Shamsuzzoha, Md; Shaw, Rajib; Ahamed, Tofael
      REMOTE SENSING APPLICATIONS-SOCIETY AND ENVIRONMENT 35: (2024)
  12. 12. 3D Camera and Single-Point Laser Sensor Integration for Apple Localization in Spindle-Type Orchard Systems Abeyrathna; R. M. Rasika D; Nakaguchi; Victor Massaki (+2 著者) Ahamed, TOFAEL
      Sensors 2024 24: (2024)
  13. 13. Intrarow Uncut Weed Detection Using You-Only-Look-Once Instance Segmentation for Orchard Plantations Ahamed, TOFAEL
      Sensors 24(3): (2024) Semantic Scholar
  14. 14. Recognition and Position Estimation of Pears in Complex Orchards Using Stereo Camera and Deep Learning Algorithm Pan, Siyu; Yorozu, Ayanori; Ohya, Akihisa; Ahamed, Tofael
      20th International Conference on Informatics in Control, Automation and Robotics (ICINCO2023) 632 (2023)
  15. 15. Sooty Mold Detection on Citrus Tree Canopy Using Deep Learning Algorithms Apacionado; Bryan Vivas; Ahamed, Tofael
      SENSORS 23: (2023) Semantic Scholar
  16. 16. Rice Crop Change Detection from Satellite-derived RGVI Due to Extreme Climatic Events Using Machine Learning and Remote Sensing Techniques Ahamed, TOFAEL
      Joint Conference on Environmental Engineering in Agriculture 2023 (2023)
  17. 17. A Systematic Framework for Studying Two Sugarcane Harvesting Systems Based on National Policy Implementation in Sri Lanka Ariyawansha, Thilanka; Abeyrathna, Dimuthu; Kodithuwakku, Dinesh; Wijayawardhana, Janaka (+5 著者) Noguchi, Ryozo
      SUGAR TECH 25: 846 (2023) Semantic Scholar
  18. 18. Detection of Defective Lettuce Seedlings Grown in an Indoor Environment under Different Lighting Conditions Using Deep Learning Algorithms Hamidon; Munirah Hayati; Ahamed, Tofael
      SENSORS 23: (2023) Semantic Scholar
  19. 19. Comparative Analysis of Paddy Harvesting Systems toward Low-Carbon Mechanization in the Future: A Case Study in Sri Lanka Kahandage, P. D; Piyathissa; S. D. S; Ariesca, Reza (+6 著者) Noguchi, Ryozo
      PROCESSES 11: (2023) Semantic Scholar
  20. 20. A Comparison of EFB to Ethanol Production by Integrating Between RBD Palm Oil and EFB Pulping Plant: An Assessment for Energy, Environmental and Economical Advantages Setiawan; Arief Ameir Rahman; Putri, Ary; Mauliva Hada (+8 著者) Noguchi, Ryozo
      INTERNATIONAL JOURNAL OF TECHNOLOGY 14: 877 (2023) Semantic Scholar
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  1. 1. IoT and AI in Agriculture Ahamed, TOFAEL
    Springer Singapore 2024年7月 (ISBN: 9789819712632)
  2. 2. IoT and AI in Agriculture: Smart Automation Systems for Increasing Agricultural Productivity to Achieve SDGs and Society 5.0 Nakaguchi; Victor Massaki; Ahamed, Tofael
    Springer-Nature 2024年7月 (ISBN: 9789819712625)
  3. 3. IoT and AI in Agriculture: Smart Automation Systems for Increasing Agricultural Productivity to Achieve SDGs and Society 5.0 Ahamed, TOFAEL
    2024年7月 (ISBN: 9789819712625)
  4. 4. IoT and AI in Agriculture: Smart Automation Systems for Increasing Agricultural Productivity to Achieve SDGs and Society 5.0 Ithiphat, Opasatian; Kornchanint, Opasatian; Ahamed, TOFAEL
    Springer-Nature 2024年7月 (ISBN: 9789819712625)
  5. 5. IoT and AI in Agriculture: Smart Automation Systems for Increasing Agricultural Productivity to Achieve SDGs and Society 5.0 Ahamed, TOFAEL; Di, Wu
    Springer-Nature 2024年7月 (ISBN: 9789819712625)
  6. 6. IoT and AI in Agriculture: Smart Automation Systems for Increasing Agricultural Productivity to Achieve SDGs and Society 5.0 Ailian, Jiang; Ahamed, Tofael
    Springer-Nature 2024年7月 (ISBN: 9789819712625)
  7. 7. IoT and AI in Agriculture: Smart Automation Systems for Increasing Agricultural Productivity to Achieve SDGs and Society 5.0 Hengyi, Zhang; Ahamed, Tofael
    Springer-Nature 2024年7月 (ISBN: 9789819712625)
  8. 8. IoT and AI in Agriculture: Smart Automation Systems for Increasing Agricultural Productivity to Achieve SDGs and Society 5.0 Nakaguchi; Victor Massaki; Ahamed, Tofael
    Springer-Nature 2024年7月 (ISBN: 9789819712625)
  9. 9. IoT and AI in Agriculture: Smart Automation Systems for Increasing Agricultural Productivity to Achieve SDGs and Society 5.0 Hamidon; Munirah Hayati; Ahamed, Tofael
    Springer-Nature 2024年7月 (ISBN: 9789819712625)
  10. 10. IoT and AI in Agriculture: Smart Automation Systems for Increasing Agricultural Productivity to Achieve SDGs and Society 5.0 Araaf, Raka Thoriq; Ahamed, Tofael; Pangaribuan; Ivana Joy Pauline
    Springer-Nature 2024年7月 (ISBN: 9789819712625)
  11. 11. IoT and AI in Agriculture: Smart Automation Systems for Increasing Agricultural Productivity to Achieve SDGs and Society 5.0 Apacionado; Bryan Vivas; Ahamed, Tofael
    Springer-Nature 2024年7月 (ISBN: 9789819712625)
  12. 12. IoT and AI in Agriculture: Smart Automation Systems for Increasing Agricultural Productivity to Achieve SDGs and Society 5.0 Sampurno, Rizky Mulya; Ahamed, Tofael
    Springer-Nature 2024年7月 (ISBN: 9789819712625)
  13. 13. IoT and AI in Agriculture: Smart Automation Systems for Increasing Agricultural Productivity to Achieve SDGs and Society 5.0 Zhang, Hao; Piyathissa, SDS; Ahamed, Tofael; Ryozo, Noguchi
    Springer-Nature 2024年7月 (ISBN: 9789819712625)
  14. 14. IoT and AI in Agriculture: Smart Automation Systems for Increasing Agricultural Productivity to Achieve SDGs and Society 5.0 Seyar, Mohammad Hussain; Ahamed, Tofael
    Springer-Nature 2024年7月 (ISBN: 9789819712625)
  15. 15. IoT and AI in Agriculture: Smart Automation Systems for Increasing Agricultural Productivity to Achieve SDGs and Society 5.0 Lulu, Chen; Ahamed, Tofael
    Springer-Nature 2024年7月 (ISBN: 9789819712625)
  16. 16. IoT and AI in Agriculture: Smart Automation Systems for Increasing Agricultural Productivity to Achieve SDGs and Society 5.0 Nakaguchi; Victor Massaki; Ahamed, Tofael
    Springer-Nature 2024年7月 (ISBN: 9789819712625)
  17. 17. IoT and AI in Agriculture: Smart Automation Systems for Increasing Agricultural Productivity to Achieve SDGs and Society 5.0 Abeyrathna; R.M. Rasika D; Ahamed, Tofael
    Springer-Nature 2024年7月 (ISBN: 9789819712625)
  18. 18. IoT and AI in Agriculture: Smart Automation Systems for Increasing Agricultural Productivity to Achieve SDGs and Society 5.0 Nakaguchi; Victor Massaki; Ahamed, Tofael
    Springer-Nature 2024年7月 (ISBN: 9789819712625)
  19. 19. IoT and AI in Agriculture: Smart Automation Systems for Increasing Agricultural Productivity to Achieve SDGs and Society 5.0 Nakaguchi; Victor Massaki; Ahamed, Tofael
    Springer-Nature 2024年7月 (ISBN: 9789819712625)
  20. 20. IoT and AI in Agriculture: Smart Automation Systems for Increasing Agricultural Productivity to Achieve SDGs and Society 5.0 Setiawan; Arief Ameir Rahman; Bardant, Teuku Beuna; Ariesca, Reza; Wiloso, Edi Iswanto; Ahamed, Tofael; Noguchi, Ryozo
    Springer-Nature 2024年7月 (ISBN: 9789819712625)
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