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Inoue, E
Lafond, J.A
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Authors
Gumiere, S.J
Périard, Y
Caron, J
Hallema, D.W
Lafond, J.A
Hirai, Y
Yamakawa, T
Inoue, E
Okayasu, T
Mitsuoka, M
Topics
Sensor Application in Managing In-season CropVariability
Big Data Mining & Statistical Issues in Precision Agriculture
Type
Oral
Year
2014
2016
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1. Detection Of Drainage Failure In Reconstructed Cranberry Soils Using Time Series Analysis

A cranberry farm is often a semi-closed water system, where water is applied by means of irrigation and drained using an artificial drainage system. Cranberry bogs must be drained to the water level inside the surrounding ditches in order to maintain an optimal pore pressure within the root zone, which is important for a number of reasons. First of all, Phytophthara causing root rot are commonly associated with irrigation with contaminated surface water (Oudemans, 1999)... S.J. Gumiere, Y. Périard, J. Caron, D.W. Hallema, J.A. Lafond

2. Analysis of High Yield Condition Using a Rice Yield Predictive Model

Rice production in Japan is facing problems of yield and quality instability owing to recent climate changes and a decline in rice prices, and possible competition with foreign inexpensive rice. Thus, it is becoming more important to stably achieve high yield and quality, while reducing production costs. Various data, including crop growth, farmer’s management styles, yield and quality, has recently become accessible in actual fields using advanced information and communication technologies.... Y. Hirai, T. Yamakawa, E. Inoue, T. Okayasu, M. Mitsuoka