Dr. Muhammad  Makky
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Dr. Muhammad Makky

Head
Andalas University, Indonesia


Highest Degree
PostDoc. in Plant Production from Alexander Technological Educational Institute of Thessaloniki, Greece

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Area of Interest:

Plant and Soil Sciences
100%
Medicinal Plant
62%
Precision Agriculture
90%
Plant Production
75%
Agricultural Engineering
55%

Research Publications in Numbers

Books
0
Chapters
0
Articles
0
Abstracts
0

Selected Publications

  1. Makky, M., R.E. Putry and K. Nakano, 2018. Nondestructive evaluation of Bakwan paddy grains moisture content by means of spectrophotometry. J. Phys.: Conf. Ser., Vol. 985. 10.1088/1742-6596/985/1/012012.
    CrossRef  |  
  2. Makky, M., D. Yanti and I. Berd, 2018. Development of aerial online intelligent plant monitoring system for oil palm (Elaeis guineensis Jacq.) performance to external stimuli. Int. J. Adv. Sci. Eng. Inform. Technol., 8: 10-23.
    CrossRef  |  Direct Link  |  
  3. Makky, M., Santosa, R.E. Putri and K. Nakano, 2017. Nondestructive evaluation of Simauang paddy grains with different moisture contents by means of spectrophotometry. AIP Conf. Proc., Vol. 1813. 10.1063/1.4975940.
    CrossRef  |  
  4. Makky, M., 2016. Trend in non-destructive quality inspections for oil palm fresh fruits bunch in Indonesia. Int. Food Res. J., 23: 81-90.
    Direct Link  |  
  5. Makky, M., 2016. Multi-modal bio-metrics evaluation for non-destructive age states determination of tomato plants (Solanum lycopersicum). Int. J. Adv. Sci. Eng. Inform. Technol., 6: 349-355.
    CrossRef  |  Direct Link  |  
  6. Makky, M., 2016. A portable low-cost non-destructive ripeness inspection for oil palm FFB. Agric. Agric. Sci. Procedia, 9: 230-240.
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  7. Makky, M., K.A. Paschalidis, K. Dima and A. Mangganaris, 2015. Tomato fruits (Solanaceae Lycopersicon esculentum Mill.) feedback mechanism in the presence of exogenous ethylene under prolonged chilling temperature storage. J. Nutr. Pharm. Res., 1: 4-12.
    Direct Link  |  
  8. Dinah, C., H. Sam, A. Usman, M. Tineke and M. Makky, 2015. Optical characteristics of oil palm Fresh Fruits Bunch (FFB) under three spectrum regions influence for harvest decision. Int. J. Adv. Sci. Eng. Inform. Technol., 5: 255-263.
    CrossRef  |  Direct Link  |  
  9. Makky, M., P. Soni and V.M. Salokhe, 2014. Automatic non-destructive quality inspection system for oil palm fruits. Int. Agrophys., 28: 319-329.
    CrossRef  |  
  10. Makky, M. and P. Soni, 2014. In situ quality assessment of intact oil palm fresh fruit bunches using rapid portable non-contact and non-destructive approach. J. Food Eng., 120: 248-259.
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  11. Makky, M. and P. Soni, 2013. Towards sustainable green production: exploring automated grading for oil palm Fresh Fruit Bunches (FFB) using machine vision and spectral analysis. Int. J. Adv. Sci. Eng. Inform. Technol., 3: 1-5.
    CrossRef  |  Direct Link  |  
  12. Makky, M. and P. Soni, 2013. Development of an automatic grading machine for oil palm Fresh Fruits Bunches (FFBs) based on machine vision. Comput. Electr. Agric., 93: 129-139.
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  13. Makky, M., P. Soni and V.M. Salokhe, 2012. Machine vision application in Indonesian oil palm industry. Revista Palmas, 37: 19-30.