Machine learning approach for the classification of corn seed using hybrid features

<p dir="ltr">Seed purity is an important indicator of crop seed quality. On the other side, corn is an important crop of the modern agricultural industry with more than 40% grain Worldwide production. The purpose of this study was to examine the feasibility of a machine learning (ML)...

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Bibliographic Details
Main Author:	Aqib Ali (19680145) (author)
Other Authors:	Salman Qadri (8351391) (author), Wali Khan Mashwani (9449980) (author), Samir Brahim Belhaouari (16855434) (author), Samreen Naeem (19680148) (author), Sidra Rafique (19680151) (author), Farrukh Jamal (8605026) (author), Christophe Chesneau (8605029) (author), Sania Anam (19680154) (author)
Published:	2020
Subjects:	Agricultural, veterinary and food sciences Crop and pasture production Information and computing sciences Machine learning Corn seeds classification correlation-based feature selection machine learning multilayer perceptron
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Machine learning approach for the classification of corn seed using hybrid features

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