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How IoT is used for fish farming ?

Download the Clickable version 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. Download the clickable version or try to access the free version from the image of the newsletter. You can also view my other related posts : Seven Active Internship Opportunities in Hydroinformatic
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Vulnerability Assessment Of Pineapple Industries Under Changed Climate Scenarios : A new research idea

Proposed Methodology Vulnerability in pineapple industries due to climate change Justification : The pineapple is a tropical plant with edible fruit, and it is the most economically important plant in the Bromeliaceae family. Pineapple cultivation is restricted to hilly regions in northeastern India and coastal regions of peninsular India with high rainfall and humidity. It is also commercially grown in the interior plains with medium rainfall and supplementary irrigation. Pineapple is primarily grown under rainfed conditions. Supplemental irrigation aids in the production of large fruits in areas with abundant rainfall. Irrigation also helps to establish an off-season planting to maintain its year-round production. In case of scanty rainfall and hot weather, irrigation may be provided once in 20-25 days. The success of Pineapple cultivation depends on various climatic parameters as well as soil characteristics and irrigation requirements. Now due to global warming, the regular pattern

Seven Active Internship Opportunities in Hydroinformatics Engineering

Internship opportunities in Hydroinformatics There are a variety of internship opportunities available in the field of Hydroinformatics Engineering. The list below contains the most relevant internship opportunities from India and around the world. The list is not sorted and arranged at random. You can use ODM  to rank the opportunities and arrange them as needed. H2i The Singapore Delft Water Alliance (SDWA), a Center of Excellence that conducted a wide range of research in urban and coastal water resource management and disseminated its findings on a national and international scale, served as the basis for H2i. This company accepts interns year-round and on an application basis. Link: https://www.h2i.sg/h2i-welcomes-interns/ UNU-INWEH Using open Earth data, UNU-INWEH has created a Historical Flood Mapping tool that generates inundation maps for significant floods in the Global South from 1984 to the present and is currently looking for an intern to help us create a Flood Risk Index.

Seven Techniques You must learn to become a Hydroinformatics Engineer

The interest in and application of data science and machine learning has grown rapidly in recent years. Data science is being used in every traditional subject to reframing well-established, straightforward ideas. The outdated item is dressed in a fresh outfit. Computer-based data mining and synthesis are replacing traditional data analysis techniques. Similarly, the use of data science in water resource management and development is increasing. The need for personnel who are knowledgeable about the pertinent data science as well as the established principles of developing water resources is also present. After reviewing the relevant literature related to data science applications on water-resource development, also known as Hydroinformatics Engineering, it was discovered that would-be hydro informatics engineers must be familiar with the following techniques if they want to pursue a career in this field. 1)Multi-Criteria Decision-Making Techniques Concept & Applications Lecture No

How to use WCI and ECI to monitor your use of water and electricity ?

Youtube / Slideshare Smart Use of Water and Electricity for Reducing Climate change impact: How? The average American family uses approximately 70% of its 300 gallons of water per day indoors. The majority of household water comes from public sources, such as a water tower, which gets 63% of its water from surface water sources like rivers, lakes, and streams. The remaining 37% is pumped from aquifers and other groundwater sources. Your neighborhood's water supply is strained due to the combined water use of all of the residents. Water shortages may require some communities to update their outdated wastewater treatment and delivery systems. This could lead to higher consumer water prices, water rationing to manage any shortages, and costly water treatment projects to upgrade outdated facilities.(Read in detail at  NEEF ) Again,almost all forms of electricity generate waste. For example, natural gas releases carbon dioxide and nitrogen oxide. Earth's atmosphere traps these gases

Seven new job openings for Hydroinformatics Students

Since the demand for data science experts has suddenly increased over the past few years, the popularity of data science courses has been growing quickly. The importance of such courses has grown significantly due to the need for data analysis techniques that aid in objective and useful decision-making. Expertise in techniques like Decision Tree Techniques, MCDMs, Optimization Techniques, Artificial Intelligence, etc., as well as programming languages like Python, R, etc., is in high demand, particularly in the engineering and management fields of science. Techniques and algorithms, as in any sustainable and developing field, are widely used in water resource management and engineering studies for fast and optimal problem-solving and accurate decision-making. The introduction of ICT technologies such as IoT and other Distributed Control Systems sparked water resource practitioners' interest in data science technologies aided by various algorithms and ICT routines. The interest is s

Seven examples of crowdsourced/home-made technologies generating useful hydrologic information

     This article is also available on  Youtube / Slide Share Data is the most important parameter of success in hydrological research. But measuring or collecting hydrologic data is complex due to its inaccessibility and financial requirements. For example, real-time stream level detection can help in the early warning of floods which can prevent/avoid “during” or post-flood disasters. Real-time dataloggers for stream-level detection are available but they are expensive. That is why low-cost alternatives like stream gauges are used.       However, the installation of such gauges in every location of a watershed is not possible as many places within a watershed are completely inaccessible. Again, the data collected by stream gauges are not real-time and not readily available to the researchers. One must pay or take permission from the regulating authorities to collect such data. Such requirements delay the project completion time and attract extra expenditures. Therefore, many ungauged