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 and ICT in hydrology, hydropower, and hydraulic engineering. Data is also collected and analyzed here, and the process of water management for the intended use is optimally controlled using hard and software with the help of the collected data.

This article will demonstrate five different products that illustrate "How Hydroinformatics is making a farm "smart."

Click here to read the entire article.

#smartfarming #watermanagement #smartwatermanagement #hydro

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

Introduction to Glowworm Optimization Algorithm

Overview of the Glow Worm Algorithm Explanation of the original Glow Worm Algorithm The Hybrid Glow Worm Algorithm is an important algorithm to study and understand because of its ability to effectively solve complex optimization problems. By combining the strengths of different algorithms, it offers a flexible and adaptable solution approach that can be applied to various domains. Understanding this algorithm can help researchers and practitioners in developing efficient and effective optimization strategies for their specific problem instances. The original Glow Worm Algorithm is a swarm intelligence-based optimization algorithm inspired by the behavior of glow worms in nature. It involves a population of virtual glow worms that interact with each other and their environment to find optimal solutions. The algorithm uses a combination of local and global search strategies, allowing the glow worms to explore and exploit the search space effectively. Additionally, the algorithm incor

Five new ideas for launching agro-start ups

View the image in original size Agricultural output controls the GDP of a Country. Especially the developing countries largely depend on its agriculture productivity to enhance their socio-economy and livelihood of the local population. Sustaining the profitability of cultivators is one of the major objectives of any government. Water and energy which are the two drivers of agriculture need to be optimally utilized. The uncontrolled and uneven distribution of natural resources, especially water resources, often compromises the agricultural productivity of the water-stressed regions of a country which in turn affects the national GDP of that country. So optimal management of water and also energy resources in an agricultural location can ensure stability and incrementation of GDP of the country. That is why some apps can be developed and offered commercially to the farmers which can help in not only maximization of agricultural productivity but also it will help in the smart managemen