Prediction and classification of sugar content of sugarcane based on skin scanning using visible and shortwave near infrared

Author:

Mat Nawi Nazmi,Chen Guangnan,Jensen Troy,Mehdizadeh Saman Abdanan

Publisher

Elsevier BV

Subject

Soil Science,Agronomy and Crop Science,Food Science,Control and Systems Engineering

Reference38 articles.

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3. Lessons from nearly 20 years of precision agriculture research, development, and adoption as a guide to its appropriate application;Bramley;Crop & Pasture Science,2009

4. Within block spatial variation in CCS – another potentially important consideration in the application of precision agriculture to sugarcane production;Bramley;Proceedings of the Australian Society of Sugar Cane Technologists,2012

5. Prediction of soluble solids content of pineapple via non-invasive low cost visible and shortwave near infrared spectroscopy and artificial neural network;Chia;Biosystems Engineering,2012

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