Title :
Trial of an Automatic Schedule for Farming and Crop Prediction
Author :
Fujii, Kojiro ; Murakami, Yukikazu ; Hato, Kenji
Author_Institution :
Dept. of Electr. & Comput. Eng., Nat. Inst. of Technol., Kagawa, Japan
Abstract :
Nowadays farmers are doing farm work from experience and intuition. In addition, Japanese agriculture is on the downward trend the number of the overall farmhouses with lack of aging and successor. In this way, the succession of the know-how of the farming schedule by experience and the perception that the expert worker cultivated is late. Therefore, it is necessary to have erected the way of easy-to-understand farming schedule to people who is going to engage in agriculture newly. In this study, we propose a system to predict the harvest date or planting date by inputting the days for which you want to make harvest or planting for each crop. Furthermore, this system automatically generates a farming schedule if you register farming work with a system beforehand.
Keywords :
agriculture; crops; scheduling; Japanese agriculture; crop prediction; farming schedule; iFarm system; Agriculture; Artificial intelligence; Interviews; Least squares approximations; Schedules; Software;
Conference_Titel :
Complex, Intelligent, and Software Intensive Systems (CISIS), 2015 Ninth International Conference on
Conference_Location :
Blumenau
Print_ISBN :
978-1-4799-8869-3
DOI :
10.1109/CISIS.2015.5