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A Thin Line to touch technology and Nature - will find Humanity - DATA ANALYSIS

A Thin Line to touch technology and Nature - will find Humanity - DATA ANALYSIS
This article provides an idea towards how technology can make up with nature to serve betterment to the world, especially in basic human needs.

Technology is a wildfire, in many arguments or even anywhere in the world where a word called        "Development" is mentioned in terms of Science and technologies have undertaken can reflect their standard of life.

Technology plays a major role in three major influences of GDP (Gross Domestic Product) of any country around the globe.

In actual, Practise there is only one part in GDP but people made up into three - Manufacturing, Service, and Agriculture.

Manufacturing is the way everything falls under or fall out. Service depends on Manufacturing.

GDP of Agriculture in most countries is low because GDP is a competitive value of sales. Large Population countries contribution of Agriculture is very dimmed due to their own consumption, eventually resulting in lower export rate.

Global manufacturing market is decided by the usage of  technology

Technology in Manufacturing and Future

  • Heart of manufacturing is the Research and Development, Technology plays a vital role in equipping new ideas and innovations to take place at a rapid phase.
Global spending of Research and Development are tabulated as follows:

In this case, Usage of Technology defines power over the globe.

Any field without technology might face the extinction in the mere future, Here are the few rises of manufacturing technologies in the coming years,

  • 3D printing, the near future of making everyone building their own lifestyle is up for taking with more exposure will find the rise of this featured additive manufacturing helping people in possible ways.
  • Advanced analytics involves statistical examination and analysis of data that goes beyond generic data intelligence gathering to unearth deep, actionable insights and make predictions on an autonomous or semi-autonomous basis. It includes a range of statistical methods or procedures, including but not limited to pattern recognition, text analytics, cluster analysis, factor analysis, multivariate modeling, multiple regression, forecasting, machine learning, simulation, and neural networks.
  •  “Advanced materials” includes a whole gamut of chemicals and materials like lightweight, high-strength metals and high-performance alloys, advanced ceramics and composites, critical materials, bio-based polymers, and nanomaterials. These materials can be designed and/or optimized to have excellent thermal, magnetic, optical, catalytic, structural, luminescent, and electrical properties and to display high dimensional stability, temperature and chemical resistance, flexible performance, and relatively easy processing, enabling them to be used for lighter components and/or to help address other functional design and manufacturing challenges to unlock a new set of possibilities for manufacturers.
  •  Advanced robotics are machines or systems capable of accepting high-level mission-oriented commands—for example, navigating to a workplace—and performing complex tasks in a semi-structured environment with minimal human intervention. Includes autonomously or remotely guided commercial drone systems technologies, whether on land, sea, or air. Automation using robotics and cognitive technologies leads to greater efficiency by replicating human action and judgment. Combined with advances in data and analytics, this spectrum of solutions has the potential to reshape the marketplace.
  •  The blockchain is a distributed ledger technology that provides a way for information to be recorded and shared by a community. It is a way to structure and distribute data without the need for a centralized authority. The data recorded and transmitted through the blockchain technology is believed to be immutable, safe, secure, and tamper-proof. 
  •  Artificial intelligence (AI) is the theory and development of computer systems able to perform tasks that normally require human intelligence. Technologies that emanate from AI, called cognitive technologies, include machine learning; computer vision; natural language processing; speech recognition; robotics; optimization; rules-based systems; and planning & scheduling. Specifically, machine learning refers to the ability of computer systems to improve their performance by exposure to data, without the need to follow explicitly programmed instructions.
  • Internet of Things (IoT) refers to an amalgamation of advanced software, cost-effective sensors, and network connectivity that allow objects to interact digitally. The IoT concept involves connecting machines, facilities, fleets, networks, and even people to sensors and controls; feeding sensor data into advanced analytics applications and predictive algorithms; automating and improving the maintenance and operation of machines and entire systems, and even enhancing human health.
  • Interface of Things includes: virtual reality (VR), which creates a fully immersive digital environment that replaces the user’s real-world environment; augmented reality (AR), which overlays digitally-created content into the user’s real-world environment; mixed reality (MR), a subset of AR, which seamlessly blends the user’s real-world environment and digitally created content, where both environments can coexist and interact with each other; wearables that enable users to take real-world actions by providing relevant, contextual information precisely at the point of decision making; gesture recognition technology that enables humans to communicate and interact with a machine, naturally, and without any mechanical devices.
  • Next-generation computing includes cognitive computing, quantum computing, neuro-synaptic computing, and DNA computing as emerging concepts and computing architectures.
 With as many leading manufacturing Research and Development group investing in huge for the upcoming developments for future.

These technologies use the common one line,

Technology = Data

World's largest consumer market is the basic needs, Food manufacturing can be simply called " Agriculture" No, Technology adoption for improving food consumption.

The rise of sensors in manufacturing units, computers with more sensors

Everyone's mobile has an accelerometer, compass, vibration sensor, temperature sensor, intensity sensor and more.

Then why not these data collection methods are not used in Agriculture to improve productivity.
Just lack of knowledge for farmers or is the division of making poor and rich people.

These sensors collect data for equipping the manufacturing for the betterment of the Business and consumer welfare.

Global Hunger Index gives an importance of Human Health over years, Agriculture is the true basic side of Manufacturing.

In a country like India, where GDP on Agriculture won't be important as population leads to major consumption and market on Food products will rise with respect to time.

In India, around 1.94 crore people die a year due to hunger or without food. In which about 22% people are aged around 10-19

Waste management collect data and reduce food wastages but,

GDP of Indian Agriculture has been reduced from 44.32 % in 1960 to 15.3 % in 2018. This explains major technological adoption has been not adopted in agriculture.

With improving technology in manufacturing can serve a good standard of life, but improving Agriculture technology can save a life.

Technology = Agriculture = Save life

Most sensors measures physical quantities which are the most impactful parts of Agriculture and data collection by using these sensors will lead to Analytics and provide insights into value-based agriculture.

This is our first Data based work, please have your say on the article and help us be more valuable to you.

Do share your insights towards making a progressive change.

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