Use of NIR and GIS in Assisting the High Quality Sugarcane Production (Part 3)

• TAIRA Eizo

  Faculty of Agriculture, University of the Ryukyus

• UENO Masami

  Faculty of Agriculture, University of the Ryukyus

• SUN Liya

  Faculty of Agriculture, University of the Ryukyus

• KAWAMITSU Yoshinobu

  Faculty of Agriculture, University of the Ryukyus

• KOMIYA Yasuaki

  Faculty of Agriculture, University of the Ryukyus

Bibliographic Information

Other Title

• NIRとGISを用いたサトウキビの高品質化支援情報システムの開発（第3報）
• NIR ト GIS オ モチイタ サトウキビ ノ コウヒンシツカ シエン ジョウホウ システム ノ カイハツ ダイ3ポウ GIS ニ ヨル ヒンシツ ジョウホウ オヨビ カリウム ガンリョウ ノ マッピング ト ソノ リヨウ
• ——Application of quality and potassium mapping using GIS technique——
• ——GISによる品質情報およびカリウム含量のマッピングとその利用——

Abstract

To assist the high quality sugarcane production, the practice of individual farm management was investigated using a geographic information system (GIS) with the data of both from the quality-based payment system and the near-infrared spectroscopy (NIR). In 2000/01 and 2001/02, the data such as cropping type, potassium content, and unit yield from all fields in Minami-Daito Island were mapped and analyzed to understand the geographical distribution of the crop. Moreover, annual standardization of data including unit yield, sugar content, and potassium content, which reduces the influence of weather, led to better evaluation of each field characteristics. An increase in potassium content was also observed. The system presented can be utilized in improvement of fertilizer management.

Journal

• JOURNAL of the JAPANESE SOCIETY of AGRICULTURAL MACHINERY

  JOURNAL of the JAPANESE SOCIETY of AGRICULTURAL MACHINERY 71 (3), 3_70-3_77, 2009

  The Japanese Society of Agricultural Machinery and Food Engineers

Keywords

• sugarcane
• GIS
• NIR
• potassium contents
• high quality
• fertilizer management
• assist to information system

Details

• CRID: 1390282679293896192
• NII Article ID: 10024965967
• NII Book ID: AN00200470
• DOI: 10.11357/jsam.71.3_70
• ISSN: 18846025
• ISSN: 02852543
• NDL BIB ID: 10300392
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I10300392
• Text Lang: ja
• Data Source:
  • JaLC
  • NDL
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed