Definition
Precision agriculture practices have provided many kinds of data and information relating to farm management, and then how to use the data has become a keen issue. Decision support system has functioned as a system for farmers regarding farm work decision corresponding to a strategy on its spatiotemporal variability of fields. A two-decade experience of a paddy rice farmer in Japan is considered here as an example.
Introduction
Precision agriculture (PA) is a farming management concept using digital techniques for monitoring and optimizing agricultural production processes. Based on a number of technologies coming from outside the agricultural sector, precision agriculture raises significant legal and socioethical questions, followed by the key hypothesis: technology in itself is neither good nor bad, it is the way in which it is used that determines the effect in any domain (Kritikos 2017). On the other hand, PA has become increasingly important to farmers particularly in...
This is a preview of subscription content, log in via an institution to check access.
References
Bhardwaj R, Bhardwaj S, Sajid M (2021) Fractal analysis and machine-learned decision system for precision and smart farming. Eur Phys J Spec Top. https://doi.org/10.1140/epjs/s11734-021-00333-4
Bullock DS, Mieno T, Hwang J (2020) The value of conducting on-farm field trials using precision agriculture technology: a theory and simulations. Precis Agric 21:1027–1044. https://doi.org/10.1007/s11119-019-09706-1
ISO/IEC 30141 IoT Reference Architecture
Kpienbaareh D, Kansanga M, Luginaah I (2019) Examining the potential of open source remote sensing for building effective decision support systems for precision agriculture in resource-poor settings. GeoJournal 84:1481–1497. https://doi.org/10.1007/s10708-018-9932-x
Kritikos M (2017) Precision agriculture in Europe: legal, social and ethical considerations. European Parliamentary Research Service, Scientific Foresight Unit (STOA), November 2017 – PE 603.207
McCown RL (2005) New thinking about farmer decision makers. In: Hatfield JL (ed) The farmer’s decision. Soil and Water Conservation Society, Ankeny. 251, pp 11–44
Rossi V, Giosuè S, Caffi T (2010) Chapter 15: Modelling plant diseases for decision making in crop protection. In: Precision crop protection – the challenge and use of heterogeneity. Springer. https://doi.org/10.1007/978-90-481-9277-9_15
Saleem MH, Potgieter J, Arif KM (2021) Automation in agriculture by machine and deep learning techniques: a review of recent developments. Precis Agric 22:2053–2091. https://doi.org/10.1007/s11119-021-09806-x
You LI, Sakae SHIBUSAWA, Masakazu KODAIRA (2013) Carbon sequestration potential and farming income – identifying the optimal carbon farming practices in Japanese paddy fields. Eng Agric Environ Food 6(2):68–76
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Section Editor information
Rights and permissions
Copyright information
© 2023 Springer Nature Switzerland AG
About this entry
Cite this entry
Shibusawa, S. (2023). Decision Support System for Precision Management of Small Paddy. In: Zhang, Q. (eds) Encyclopedia of Smart Agriculture Technologies. Springer, Cham. https://doi.org/10.1007/978-3-030-89123-7_51-1
Download citation
DOI: https://doi.org/10.1007/978-3-030-89123-7_51-1
Received:
Accepted:
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-89123-7
Online ISBN: 978-3-030-89123-7
eBook Packages: Springer Reference Biomedicine and Life SciencesReference Module Biomedical and Life Sciences