Advanced design and Engi-economical evaluation of an automatic sugarcane seed cutting machine based RGB color sensor

Advanced design and Engi-economical evaluation of an automatic sugarcane seed cutting machine based RGB color sensor

<p dir="ltr">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 duri...

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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:
Agricultural, veterinary and food sciences
Agriculture, land and farm management
Crop and pasture production
Economics
Applied economics
Engineering
Communications engineering
Control engineering, mechatronics and robotics
Mechanical engineering
Information and computing sciences
Artificial intelligence
Computer vision and multimedia computation
Machine learning
Sugarcane
Seed
Economic Analysis
Buds
Machine vision
Signal processing
Machine Learning
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