IT field monitoring in a Japanese system of rice intensification (J-SRI)

Abstract

A demonstration study on Information Technology (IT) field monitoring was conducted in a rice field under the System of Rice Intensification (SRI) environment in Shinshiro City, Aichi Prefecture, Japan. The IT system used in this study consisted of an intelligent sensor node web-server that is equipped with in situ camera and sensor networks for agrometeorological, soil, and plant growth monitoring. Dynamic changes in soil moisture, water level, agrometeorological, and environmental conditions were measured and monitored. With this precision farming setup, understanding and easy assessment of the salient field conditions and phenomena such as cyclic soil wetting and drying as well as critical crop growth stages were made possible. Based on the findings of the demonstration experiment, the system was effective, reliable, and efficient in monitoring soil moisture parameters and agrometeorological information in remote rice field environment. The actual field conditions were captured well by a combination of images, numerical, and graphical data sets. With this precise information, the frequency of irrigation was found to be every 7 days. The rice field was irrigated up to a moisture level of 0.592 m 3 /m 3 (*600 mV) and allowed to be depleted to a moisture level of 0.417 m 3 /m 3 (*400 mV). With this alternate drying and wetting method (AWD), a 25.71% of irrigation water was saved. In this study, rice production was made more scientific and more reliable. Hence, the use of IT field monitoring system represented a viable medium for the realization of better rice productivity which leads to the ethic of sustainable agriculture.

Quantification of Water Balance of Terraced Paddy Field in Northern Bali by Using Remote Monitoring

“…Additionally, daily picture of the field was also taken by using digital camera attached. The environment of remote rice fields [9] can be monitored well by this system and it can capture the actual field conditions using a mix of images, numerical, and graphical data. Previous study by [10] provided more information about the site, including the paddy field and the soil conditions.…”

Autogation: An Alternate Wetting and Drying-Based Automatic Irrigation and Paddy Water Level Control System through Internet of Things

“…9. Irrigation Water Data Summary During Safe AWD Irrigation (Manzano, Mizoguchi, Mitsuishi, & Ito (2011)…”

“…This research is a revision of the irrigation principle known as "alternate wetting and drying" or AWD. The AWD principle procedure has been published in works by Bouman, Lampayan, & Tuong (2007), Chou et al (2016), Manzano, Mizoguchi, Mitsuishi, & Ito (2011), and Zawawi, Mustapha, & Puasa (2010. This idea refers to drying below saturation and plunging or swamping a particular rice field region.…”