九州大学大学院生物資源環境科学府環境農学専攻生産環境科学講座生物生産工学研究室
Laboratory of Bioproduction Engineering, Division of Bioproduction Environmental Sciences, Department of Environmental Agriculture, Faculty of Agriculture, Kyushu University
九州大学大学院農学研究院環境農学部門生産環境科学講座生物生産工学研究室
Laboratory of Bioproduction Engineering, Division of Bioproduction Environmental Sciences, Department of Environmental Agriculture, Faculty of Agriculture, Kyushu University
福岡県朝倉農林事務所久留米普及指導センター
Laboratory of Bioproduction Engineering, Division of Asakura Office of Agriculture and Forestry Kurume Center for the Dissemination of Improved Agricultural Methods
福岡県朝倉農林事務所久留米普及指導センター
Laboratory of Bioproduction Engineering, Division of Asakura Office of Agriculture and Forestry Kurume Center for the Dissemination of Improved Agricultural Methods
九州大学大学院農学研究院環境農学部門生産環境科学講座生物生産工学研究室
Laboratory of Bioproduction Engineering, Division of Bioproduction Environmental Sciences, Department of Environmental Agriculture, Faculty of Agriculture, Kyushu University
九州大学大学院農学研究院環境農学部門生産環境科学講座生物生産工学研究室
Laboratory of Bioproduction Engineering, Division of Bioproduction Environmental Sciences, Department of Environmental Agriculture, Faculty of Agriculture, Kyushu University
九州大学大学院農学研究院環境農学部門生産環境科学講座生物生産工学研究室
Laboratory of Bioproduction Engineering, Division of Bioproduction Environmental Sciences, Department of Environmental Agriculture, Faculty of Agriculture, Kyushu University
Agricultural work history collection and management
収穫日予測
Harvest date prediction
作業量低減
Work load reduction
ICT
電子化
Digitization
情報化農業
Information agriculture
二次利用
Secondary use
注記
This study focused on a digitization of agricultural work history collection and a development of its utilization technology to improve agricultural production activities for leaf vegetable farmers. First, the questionnaires on collection and management methods of the agricultural work histories using ICT were carried out for the JA Mii and farmers. Following the results, several functions in the agricultural work history recording and management system were developed, i.e. the digital sheet of the agricultural work history was automatically created, displayed and printed out by using the developed system. The quality was same as the current analog sheet. The cooperative farmers evaluated that the work load of agricultural work history recording could be reduced by using the developed system. On the other hand, the system for a harvest date prediction was developed as one of the valuable utilization methods of the work history information collected. As the result, the gap between predicted harvest date and has a gap between the predicted harvest date and actual harvest date was found in the current version of the prediction method. This gap was clearly caused by the differences of farmers' opinions. Thus to improve the accuracy other information and functions should be incorporated into the current prediction method.
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