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Sugimoto, T
Tremblay, N
Leese, S
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Authors
Sugimoto, T
Shirakawa, T
Sano, M
Ohaba, M
Shibusawa, S
Nakagawa, Y
Nakagawa, Y
Sano, M
Shirakawa, T
Yamagishi, K
Sugihara, T
Ohaba, M
Shibusawa, S
Sugimoto, T
Longchamps, L
Panneton, B
Tremblay, N
Taylor, J
Shahar, Y
James, P
Blacker, C
Leese, S
Sanderson, R
Kavanagh, R
Topics
Engineering Technologies and Advances
Remote Sensing Applications in Precision Agriculture
Precision Horticulture
Geospatial Data
Type
Poster
Oral
Year
2012
2014
2018
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Filter results4 paper(s) found.

1. Study on Water Distribution Measurement in Sand Using Sound Vibration

... T. Sugimoto, T. Shirakawa, M. Sano, M. Ohaba, S. Shibusawa, Y. Nakagawa

2. Study On Plant Health Condition Monitoring Using Acoustic Radiation Force

In recent years, irrigation method using the negative pressure difference attracts attention from the point of view of water saving. In addition, it is proved that this technique is effective in upbringing of the plant as well as saving of water. By measuring water distribution of soil, active irrigation control will be performed In our previous study, we confirmed that the resonance frequency of a leaf is influenced by the water stress to the plant. Thus the vibration measurement... Y. Nakagawa, M. Sano, T. Shirakawa, K. Yamagishi, T. Sugihara, M. Ohaba, S. Shibusawa, T. Sugimoto

3. Observational Studies in Agriculture: Paradigm Shift Required

There is a knowledge gap in agriculture. For instance, there is no way to tell with precision what is the outcome of cutting N fertilizer by a quarter on important outcomes such as yield, net return, greenhouse gas emissions or groundwater pollution. Traditionally, the way to generate knowledge in agriculture has been to conduct research with the experimental method where experiments are conducted in a controlled environment with trials replicated in space and... L. Longchamps, B. Panneton, N. Tremblay

4. Experiences in the Development of Commercial Web-Based Data Engines to Support UK Growers Within an Industry-Academic Partnership

The lifecycle of Precision Agriculture data begins the moment that the measurement is taken, after which it may pass through each multiple data processes until finally arriving as an output employed back in the production system. This flow can be hindered by the fact that many farm datasets have different spatial resolutions. This makes the process to aggregate or analyse multiple Precision Agriculture layers arduous and time consuming.  Precision Decisions Ltd located in Yorkshire,... J. Taylor, Y. Shahar, P. James, C. Blacker, S. Leese, R. Sanderson, R. Kavanagh