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IAEA looks at nuclear techniques for crop resilience
The International Atomic Energy Agency has launched a five-year coordinated research project (CRP) to strengthen plant health preparedness using nuclear and related technologies.
Wheat blast, potato late blight, potato bacterial wilt, and cassava witches broom disease can spread quickly across large areas of land, leading to severe yield losses in key crops for food security. Global trade and climate change have increased the likelihood of rapid, transboundary spread.
Jiro Wakabayashi, Shin-Ichi Tashima, Akio Gofuku
Nuclear Technology | Volume 70 | Number 3 | September 1985 | Pages 343-353
Technical Paper | Fission Reactor | doi.org/10.13182/NT85-A15961
Articles are hosted by Taylor and Francis Online.
Two kinds of identification techniques for the diagnosis of disturbances in nuclear power plants have been proposed, and the applicability of these techniques to actual plants has been verified by computer experiments. In both techniques, a set of the observed signals (observed vector) obtained from an actual plant is identified with one of the categories representing a normal state, several anticipated anomalous situations, and an unanticipated anomalous state, in which the categories corresponding to the anticipated anomalous situations are classified by the kind and approximate magnitude of the anomaly source (the disturbance). The maximum likelihood technique is used in method 1. It applies to the identification of multiple anticipated disturbances that happen sequentially with some time interval, even if a plant has some nonlinear characteristics. The projective operator technique is used in method 2. It applies to the identification of any kind of multiple anticipated disturbances under the conditions of the plant having approximately linear characteristics and the observed vectors corresponding to the anticipated disturbances are linearly independent of each other.