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| Thai-nghe, Nguyen; Thanh-hai, Nguyen; Chi Ngon, Nguyen. |
| Global climate change and water pollution effects have caused many problems to the farmers in fish/shrimp raising, for example, the shrimps/fishes had early died before harvest. How to monitor and manage quality of the water to help the farmers tackling this problem is very necessary. Water quality monitoring is important when developing IoT systems, especially for aquaculture and fisheries. By monitoring the real-time sensor data indicators (such as indicators of salinity, temperature, pH, and dissolved oxygen - DO) and forecasting them to get early warning, we can manage the quality of the water, thus collecting both quality and quantity in shrimp/fish raising. In this work, we introduce an architecture with a forecasting model for the IoT systems to... |
| Tipo: Text |
Palavras-chave: Forecasting model; Deep learning; Long-Short Term Memory (LSTM); Water quality indicators. |
| Ano: 2020 |
URL: https://archimer.ifremer.fr/doc/00646/75836/76830.pdf |
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| Chairat Channoo; Narisra Jumroonwong. |
| Survey in paddy field in 2013 amount 54 fields as follow : Mueang Chai Nat 13 fields, Manorom 6 fields, Watsing 5 fields, Sapphaya 7 fields, Sankaburi 9 fields, Hankha district 10 fields, Nakhonsawan 1 field, Uthithani 1 field, Singburi 1 field and Suphanburi province 1 field. We begin survey at 15 days after planting to 90 days and used outbreak data sets by week from Department of Agricultural Extension for decision. The survey results show that brown planthopper high in 2 times per year. The first time is in February to March in Mueang Chai Nat and Hankha district because of brown planthopper outbreak in Suphanburi, migrated to Hankha district and influence of southern wind. The second time is in July to August in Mueang Chai Nat, Hankha and Sankaburi... |
| Tipo: PhysicalObject |
Palavras-chave: Paddy field; Rice production; Brown plant hopper; Migration; Forecasting model; Nilaparvata lugens; Outbreak; Products damage; Pest monitoring; Chainat province; แบบจำลองทางคณิตศาสตร์; การเคลื่อนย้ายประชากร; เพลี้ยกระโดดสีน้ำตาล; นาข้าว; การปลูกข้าว; การระบาดของแมลงศัตรูพืช; การพยากรณ์เตือนภัยการระบาด; ความเสียหายของผลผลิต; การสำรวจข้อมูล; จ.ชัยนาท. |
| Ano: 2014 |
URL: http://anchan.lib.ku.ac.th/agnet/handle/001/5678 |
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