The use of computer vision to classify Xaraés grass according to nutritional status in nitrogen

IF 0.7 4区农林科学 Q3 AGRICULTURE, MULTIDISCIPLINARY

Revista Ciencia Agronomica Pub Date : 2022-01-01 DOI:10.5935/1806-6690.20220006

W. R. Mancin, L. E. T. Pereira, R. S. Carvalho, Yeyin Shi, Wilson Castro Silupu, Adriano Rogeri Bruno Tech

引用次数: 1

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利用计算机视觉根据氮营养状况对沙拉西草进行分类

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

Revista Ciencia Agronomica Agricultural and Biological Sciences-Horticulture

CiteScore

2.00

自引率

0.00%

发文量

审稿时长

4-8 weeks

期刊介绍： To publish technical-scientific articles and study cases (original projects) that are not submitted to other journals, involving new researches and technologies in fields related to Agrarian Sciences. Articles concerning routine analysis, preliminary studies, technical notes and those which merely report laboratorial analysis employing traditional methodology will not be accepted for publication. The Journal of Agronomical Science also has the mission to promote the exchange of experience in the referred fields.