首页    期刊浏览 2025年02月21日 星期五
登录注册

文章基本信息

  • 标题:Smartphone Image based Agricultural Product Quality and Harvest Amount Prediction Method
  • 本地全文:下载
  • 作者:Kohei Arai ; Osamu Shigetomi ; Yuko Miura
  • 期刊名称:International Journal of Advanced Computer Science and Applications(IJACSA)
  • 印刷版ISSN:2158-107X
  • 电子版ISSN:2156-5570
  • 出版年度:2019
  • 卷号:10
  • 期号:9
  • 页码:24-29
  • 出版社:Science and Information Society (SAI)
  • 摘要:A method for agricultural product quality and harvest amount prediction by using smartphone camera image is proposed. It is desired to predict agricultural product quality and harvest amount as soon as possible after the sowing. In order for that, satellite imagery data, UAV camera based images, ground based camera images are used and tried These methods do cost significantly and these do not work so well due to some reasons, in particular, most of farmers cannot use these properly. The proposed method uses just smartphone camera acquired images. Therefore, it is totally easy to use. If the results of prediction of product quality and harvest amount are not satisfied, then farmers have to add some additional fertilizer at the appropriate time. The experimental results with soy plantations show some possibility of the proposed method.
  • 关键词:Smartphone camera image; agricultural product quality and harvest prediction; fertilizer control; soy plantation
国家哲学社会科学文献中心版权所有