6 Application of Oil Palm Empty Fruit Bunch as Adsorbent

  • evaluating oil palm fresh fruit bunch processing-semantic scholar in thailand
  • evaluating oil palm fresh fruit bunch processing-semantic scholar in thailand
  • evaluating oil palm fresh fruit bunch processing-semantic scholar in thailand
  • evaluating oil palm fresh fruit bunch processing-semantic scholar in thailand

Evaluating oil palm fresh fruit bunch processing

Assessing ecological footprints of products

INFLUENCE OF REACTION TEMPERATURE AND

Pertanika Journal of Science & Technology erta Vol.

  • How to produce quality palm oil?
  • To produce quality palm oil, mature palm fruit is needed. Maturity of Oil Palm Fruit Bunches (FFB) is usually determined by the number of loose fruits falling from the bunch 1. Besides, maturity can also be seen from the colour of the fruit from black to orange.
  • Is there a non-destructive determination of oil content in palm fruits?
  • A feasibility study on non-destructive determination of oil content in palm fruits by visible–near infrared spectroscopy. J. Near Infrared Spectrosc. 20, 687–694 (2012). Hazir, M. H. M., Shariff, A. R. M. & Amiruddin, M. D. Determination of oil palm fresh fruit bunch ripeness—Based on flavonoids and anthocyanin content. Ind.
  • How are palm oil FFB studies done?
  • Table 1 Existing palm oil FFB studies. Research using computer vision is usually done based on the input image to detect the colour of the fruit, while research with a light sensor is done by analysing the results of the spectrum of light emitted to the oil palm fruit.
  • How to detect the maturity of oil palm fruits?
  • Earlier methods in detecting the maturity of oil palm fruits can be broadly classified into two categories: non-optical and optical. The non-optical methods are either based on capacitive sensing 9, inductive sensing 10, 11, 12, 13 and resistive sensing 14, 15, 16.
  • Is AlexNet better than CNN for palm oil ripeness grading?
  • Results indicate that with a small number of sample data, pre-trained CNN model, AlexNet, outperforms CNN and the hand-crafted feature and classifier approach for palm oil Fresh Fruit Bunch ripeness grading recognition.
  • Are oil palm fruits ripe?
  • The extracted features were tested with 19 classification techniques to classify the oil palm fruits into the three ripeness categories. The Raman peak averaging at 1515 cm −1 is shown to be a significant molecular fingerprint for carotene levels, which can serve as a ripeness indicator in oil palm fruits.