How IoT is used for fish farming ?

Robots, drones, remote sensors, and computer imaging, along with constantly improving machine learning and analytical tools, are used in IoT in fish farms to monitor the fish during its various developmental stages, survey, and map fields, as well as provide data to farmers for logical farm management plans that will save them time and money.

The October Edition of HydroGeek tries to highlight the various application of IoTs for the development of fish farming technologies. Some of the most significant case studies and research works were identified and placed under the Case Study and Research News sections. The latest Calls for conferences of the year 2023, New Journals, Special Issues of old journals, and tutorials on IoT were also shared in the Newsletter.

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You can also view my other related posts :

Seven Active Internship Opportunities in Hydroinformatics Engineering

Seven Most Successful Water Conservation Projects in North East India

Call for Paper : Vulnerability Analysis of Water Resources of Peri-urban Watersheds in face of Climatic Abnormalities

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Five Most Extreme Hydrologic Events that changed the World

Typhoon Tip, Philipines(Collected from : CSMonitor ) Devastating storms, severe flood, acute famine conditions, etc. hydrological events of extreme nature has changed human history. Any event which is not normal is known as an abnormal event. In the case of hydrology, an event that has a return period of more than 100 years is considered Extreme. According to Herring(2020) of Climate.gov, "An extreme event is a time and place in which weather, climate, or environmental conditions—such as temperature, precipitation, drought, or flooding—rank above a threshold value near the upper or lower ends of the range of historical measurements." Though the threshold is not objective, few researchers have defined "extreme events as those that occur in the highest or lowest 5% or 10% of historical measurements". Some have described events by their deviation from the mean, or by their occurrence interval. Here the most severe five extreme hydrologic events were discussed which ...

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A new article was posted in HydroGeek : Five Most Recent Research Works on Autocorrelation in Water Resource Management Autocorrelation is the correlation between two part of a single data series and is useful when the trendability of a parameter is approximated with the help of data. Most used in water research study. This article highlights the most recent research works on the application of autocorrelation on water resource development studies. Click here to read it in HydroGeek @Mrinmoy's Page @data_hydrology , @Merchandise or @ @products_sustainability Add to Listy /

Five open source free hydrologic models that you can use to model runoff of micro to macro watersheds

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