Detection and Determination of Ripeness of Mango: Using Machine Learning and Image Processing on Raspberry Pi

Dhope-Shendkar, Tanuja; Ubale, Pranoti

ISBN 10: 6202803428 / ISBN 13: 9786202803427

Editore: LAP LAMBERT Academic Publishing, 2020

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Codice articolo 26395830394

Dati bibliografici

• Titolo: Detection and Determination of Ripeness of Mango: Using Machine Learning and Image Processing on Raspberry Pi
• Editore: LAP LAMBERT Academic Publishing
• Data di pubblicazione: 2020
• Lingua: Inglese
• ISBN 10: 6202803428
• ISBN 13: 9786202803427
• Rilegatura: Brossura
• Condizione: New

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Riassunto

Agriculture plays a very important role in any national economic stability. Agriculture is the only way of living for the two-thirds of population in India. On comparing the development of electronics and automobiles with the development of agriculture, it is observed that the development in agriculture is sluggish. Hence, it is essential to move towards the innovative plan to raise the impact factor agriculture development. This is an automatic fruit quality inspection system for sorting and grading Mango using modern technologies such as Machine Learning and Image Processing. The main aim of this system is to replace the manual inspection system. This helps in speeding up the process improve accuracy and efficiency and reduce time.