Sugarcane Diseases Identification and Detection via Machine Learning

Author:

Mostafizur Rahman Komol MdORCID,Sabid Hasan MdORCID,Ali Shahnewaz

Publisher

Springer Nature Singapore

Reference47 articles.

1. Industrial sugar market size, share & covid-19 impact analysis, by source (cane sugar and beet sugar), type (white sugar, brown sugar, and liquid sugar), end use (beverages, confectionary, bakery products, dairy products and other food applications). Fortune Business Insights 2022

2. Komol MMR, Hasan MM, Elhenawy M, Yasmin S, Masoud M et al (2021) Crash severity analysis of vulnerable road users using machine learning. PLoS ONE 16(8):e0255828. https://doi.org/10.1371/journal.pone.0255828

3. Komol MMR, Podder A, Ali N, Ansary S (2018) RFID and finger print based dual security system: a robust secured control to access through door lock operation. Am J Embed Syst Appl 6:15–22. https://doi.org/10.11648/j.ajesa.20180601.13

4. Komol MMR, Podder A (2017) Design and construction of product separating conveyor based on color. In: 2017 3rd International conference on electrical information and communication technology (EICT), Khulna, Bangladesh, pp 1–5. https://doi.org/10.1109/EICT.2017.8275163

5. Khan M, Komol MMR, Podder A, Mishu SA (2019) A developed length based product separating conveyor for industrial automation. In: International conference on electrical, communication, electronics, instrumentation and computing (ICECEIC)

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