A Survey on Various Unimodal Biometric Techniques

نویسندگان

چکیده

Agriculture plays a very important role as it helps to accomplish the need of food among people. The production in agriculture consequentially contributes economy every country. grain crops rice, wheat, maize, and legumes are suffering lot due some viral, bacterial, fungal diseases. pest variety diseases can bring heavy loss global economy. monitoring health identification at early days is challenging emerging task agriculture. So, prevent from fatal stage, but manual process disease discovery lead erroneous magnitude pesticides. trouble figure out by automate supplication relevant medication on time. It necessary find accurate overcome From few decades, detect correctly, detection become using technologies techniques computer vision, machine learning image processing. This article presents extensive literature existing methodologies utilized for recognition classification leaves studies addresses that there still many limitations challenges different phases plant system. presented research also highlights pros cons help researchers contribution future.

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ژورنال

عنوان ژورنال: Sparklinglight Transactions on Artificial Intelligence and Quantum Computing (STAIQC)

سال: 2021

ISSN: ['2583-0732']

DOI: https://doi.org/10.55011/staiqc.2021.1103