TY - JOUR
T1 - Appropriate adaptation of precision agriculture technology in open field cultivation in tropics
AU - Nugroho, A. P.
AU - Sutiarso, L.
AU - Okayasu, T.
N1 - Funding Information:
Authors wishing to acknowledge financial support from Ministry of Research, Technology and Higher Education of the Republic of Indonesia Research Grants of Penelitian Terapan Unggulan Perguruan Tinggi (PTUPT), (No. 1878/UN1/DITLIT/DIT-LIT/LT/2018) and 2019 (No. 2771/UN1/DITLIT/DIT-LIT/LT/2019). We also thank Mr. Mino Purwodiharjo and Ms. Sribudi Astuti from Rejeki Tani, Yogyakarta, Indonesia for the help on the implementation of the system. Also, the author would like to thanks Smart Agriculture Research group of Agricultural and Biosystems Engineering UGM for the support.
Publisher Copyright:
© 2019 IOP Publishing Ltd. All rights reserved.
PY - 2019/11/19
Y1 - 2019/11/19
N2 - Tropical agriculture production is profoundly affected by the uncontrollable environmental condition. To obtain good agricultural products, farmers manage their farm to fit with the variation of weather and season. The farming managements are generally determined according to farmers personal knowledge, gained from the long-term experience from preceding years. Nowadays, climate change intensifies unpredictable weather and its unstable distribution. Consequently, conventional farming management considering the climate change factor should be considered. The farming management should face the dynamic change of weather condition as well as improve the farmer's knowledge towards the implementation of precision agriculture approach. The objective of this study was to introduce an appropriate adaptation of precision agriculture technology by the utilization of information and communication technology (ICT) to improve conventional farming management in tropical agriculture production. The framework is implementing cloud technology as a backbone, which can be extended with various knowledge such as data science, plant biology, plant physiology, biophysical, and biomechanical. The appropriate adaptation of precision agriculture represented by the improvement of the conventional farming method using the technological aspect by fostering their knowledge to adopt modern agriculture empowered with Information and Communication Technology (ICT). Learning process from data-information-knowledge on the application of precision agriculture will be documented at the PA Knowledge Management System.
AB - Tropical agriculture production is profoundly affected by the uncontrollable environmental condition. To obtain good agricultural products, farmers manage their farm to fit with the variation of weather and season. The farming managements are generally determined according to farmers personal knowledge, gained from the long-term experience from preceding years. Nowadays, climate change intensifies unpredictable weather and its unstable distribution. Consequently, conventional farming management considering the climate change factor should be considered. The farming management should face the dynamic change of weather condition as well as improve the farmer's knowledge towards the implementation of precision agriculture approach. The objective of this study was to introduce an appropriate adaptation of precision agriculture technology by the utilization of information and communication technology (ICT) to improve conventional farming management in tropical agriculture production. The framework is implementing cloud technology as a backbone, which can be extended with various knowledge such as data science, plant biology, plant physiology, biophysical, and biomechanical. The appropriate adaptation of precision agriculture represented by the improvement of the conventional farming method using the technological aspect by fostering their knowledge to adopt modern agriculture empowered with Information and Communication Technology (ICT). Learning process from data-information-knowledge on the application of precision agriculture will be documented at the PA Knowledge Management System.
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U2 - 10.1088/1755-1315/355/1/012028
DO - 10.1088/1755-1315/355/1/012028
M3 - Conference article
AN - SCOPUS:85076592683
SN - 1755-1307
VL - 355
JO - IOP Conference Series: Earth and Environmental Science
JF - IOP Conference Series: Earth and Environmental Science
IS - 1
M1 - 012028
T2 - 3rd International Symposium on Agricultural and Biosystem Engineering, ISABE 2019
Y2 - 6 August 2019 through 8 August 2019
ER -