Classification of macronutrient deficiencies in maize plants using optimized multi class support vector machines

Q2 Engineering

Engineering in Agriculture, Environment and Food Pub Date : 2019-01-01 DOI:10.1016/j.eaef.2018.11.002

N. Leena , K.K. Saju

引用次数: 8

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基于优化多类支持向量机的玉米宏量营养素缺乏症分类

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Engineering in Agriculture, Environment and Food Engineering-Industrial and Manufacturing Engineering

CiteScore

1.00

自引率

0.00%

发文量

期刊介绍： Engineering in Agriculture, Environment and Food (EAEF) is devoted to the advancement and dissemination of scientific and technical knowledge concerning agricultural machinery, tillage, terramechanics, precision farming, agricultural instrumentation, sensors, bio-robotics, systems automation, processing of agricultural products and foods, quality evaluation and food safety, waste treatment and management, environmental control, energy utilization agricultural systems engineering, bio-informatics, computer simulation, computational mechanics, farm work systems and mechanized cropping. It is an international English E-journal published and distributed by the Asian Agricultural and Biological Engineering Association (AABEA). Authors should submit the manuscript file written by MS Word through a web site. The manuscript must be approved by the author''s organization prior to submission if required. Contact the societies which you belong to, if you have any question on manuscript submission or on the Journal EAEF.