Technical Name |
Intelligent health alarm systems for crops |
Project Operator |
National Chung Hsing University |
Project Host |
朱彥煒 |
Summary |
Overall, we are monitoring plant growthdevelopment as related to environmental factors in open field. We also constructed a database for the collection of disease symptomsinsect pest. Sensors for detecting microclimate in the paddy field have been modularized. Finally, we constructed a plant height characteristic, disease/pathogen infection spot identification, insect damage spots identi |
Scientific Breakthrough |
This system provides early diagnosis, medication, prevention to avoid the spread of pestsdiseases. This technique can reduce pesticide usepest resistance. The microclimate in the field will determine whether the disease occursnot. The weather station is not enough to show the effect of the microclimate. Therefore, the microclimate in the canopy of the field is established to disease |
Industrial Applicability |
This early warning system automatically informs the management team before significant damage to the crops, effectively reducing farm lossesreducing only a small portion of rice production with suitable water use. In terms of pestsdiseases, we can immediately discover rice feverbacterial blight,establish a microclimate model for early warning diseases.
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Keyword |
drought stress hyperspectral plant imaging system multi-spectral sensor crop disease crop insect pest crop health forecasting system height measurement convolutional neural network Sesamia infereus Chilo suppressalis |