The main parts of the feeding system.

<div><p>There are many problems related to the use of machine learning and machine vision technology on a commercial scale for cutting sugarcane seeds. These obstacles are related to complex systems and the way the farmers operate them, the possibility of damage to the buds during the cl...

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Bibliographic Details
Main Author:	Abdallah Elshawadfy Elwakeel (19852263) (author)
Other Authors:	Loai S. Nasrat (18271596) (author), Mohamed Elshahat Badawy (19864859) (author), I. M. Elzein (19852272) (author), Mohamed Metwally Mahmoud (15213516) (author), Kitmo (13389936) (author), Mahmoud M. Hussein (16965014) (author), Hany S. Hussein (17854653) (author), Tamer M. El-Messery (18271602) (author), Claude Nyambe (19864862) (author), Salah Elsayed (6429233) (author), Manar A. Ourapi (18271599) (author)
Published:	2024
Subjects:	Biophysics Sociology Plant Biology Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified sugarcane stalk diameters save enough money rotary saw knife obtained results showed lower operating costs cut sugarcane stacks machine &# 8217 two different types rotary saw knives rgb color sensors fixed cutting speed cutting sugarcane seeds sugarcane stalk diameter many problems related economic analysis showed machine vision technology damage index values two knives economic analysis machine learning unique color di values damage index cutting times xlink "> total cost suggest using short period partial damage manually marked high cost farmers operate extreme damage equal zero economical evaluation complex systems commercial scale cleaning process average diameter advanced design 94 cm 865 usd 80 teeth 536 years 43 months 3000 ms 180 mm 12000 rpm
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The main parts of the feeding system.

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