The History of Underwater Photography

For the full video : https://veryshorttermcourse.substack.com/p/internship-on-underwater-image-processing?r=c8bxy

Underwater photography, dating back to the early 20th century, began with modified cameras and primitive diving equipment. Pioneers like Emil Racovitza and Louis Boutan conducted underwater photography experiments to document marine life.

Advancements in camera technology and diving gear, such as waterproof housings, made underwater photography more accessible to enthusiasts and scientists.

This allowed for detailed visual records of marine ecosystems, contributing to marine biology research and raising awareness. Digital cameras and post-processing software further enhanced image quality and accessibility.

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Seven Most Tenable Application of Artificial Intelligence on Water Resource Management Problems

AI or Artificial Intelligence is a pioneering technique that has enabled the creation of intelligent machines. or smart machines which have the power to self adapt based on the situation presented to them. It requires situations whose response is known and based on this training data set it learns the problems which it has to solve when it is ready. Due to the alarming success with AI in robotics, electronics, etc fields the same technique is now used to solve the problems of water resource management. This ppt shows the seven most notable use of AI in water resources-based problems where satisfactory improvement has encouraged the further application of the technique. View the Presentation Dr.Mrinmoy Majumder, My ResearchGate Id : Mrinmoy_Majumder Home Page: http://www.mrinmoymajumder.com Author of: Lecture Notes on MCDM Indian Link ; Global Link :

Simple tutorial on Weighted Sum and Weighted Product Method

Learn about WSM and WPM methods. Visit this link for WSM and WPM tutorials. @Innovate for Sustainability baipatra.ws Subscribe Me

Hydroinformatics to make farms SMART

Smart farming focuses on increasing farm productivity through the use of technology - both hardware and software. Smart farming is concerned with the management of farms, plantations, and all associated farming activities through the use of IoT, drones, robotics, machinery, and artificial intelligence to determine a path to predictable farm output. Smart farming is concerned with the management of farm activities through the use of data obtained from various sources (historical, geographical, and instrumental). Technological advancement does not necessarily imply that a system is intelligent. Smart agriculture technologies distinguish themselves by their ability to collect and analyze data. Smart farming uses hardware (Internet of Things) and software (Software as a Service or SaaS) to collect data and provide actionable insights to manage all farm operations, both pre and post-harvest. Hydroinformatics, on the other hand, is a subject that deals with the application of data science an...