Farmers’ interest in cutting-edge technology has generated a market for agricultural robots and drones worth $23.06 billion by 2028. In open fields and greenhouses, robots can already perform a range of tasks. From weeding and harvesting to sampling and spraying, advanced technology help farmers cultivate healthy crops in a financially and environmentally sustainable manner. While we are only at the beginning of this trend, there are already numerous examples of how agricultural robots might affect food production.

A Tertile robot that makes weeding easier than ever

In many homes, there are food and flower gardens. While this activity is fun and offers nutritious food, it is also a constant battle to eliminate weeds that deprive plants of water and nutrients. Weeding can be time-consuming and difficult, which is why Franklin Robotics, a technology company, has come up with a solution. Tertill, a 1.1-kg heavy robot from this American startup, trims itself as it walks about the garden. The four-wheeled device uses sensors to locate its target and a nylon thread on its underside to pull weeds out.

The robot’s solar panel can charge its battery when it is exposed to direct sunlight. The device can also be charged using a USB cord. To keep Tertill from fleeing and allowing it to patrol in a set area, the robot’s owners must enclose their garden with at least a five-centimeter-high wall. Although the machine is weather-resistant, rocks, mud, and uneven terrain might slow it down. Franklin Robotics has also developed a smartphone app that allows clients to monitor the robot’s activities as well as the weather in the garden.

Smart core to check soil samples

Crop production in large open fields faces unique challenges. Farmers must study soil samples to determine the number of nutrients required in certain field areas. Using the proper amount of nutrients can increase yields, cut costs, and minimize surface and groundwater pollution. Using too many or too few chemicals, on the other hand, may have a negative impact on agricultural productivity. Farmers often collect soil samples by hand, which is a time-consuming and error-prone procedure despite the necessity of the process.

Troy Fiechter and Drew Schumacher, both Purdue University graduates, have developed a superior soil analysis method. The duo developed SmartCore, an autonomous robot that navigates fields and collects samples from specific locations. Obstacle detection algorithms and GPS lead the equipment to take samples from the same region each year, allowing farmers to track the changes in their soil. After the sample is taken, SmartCore transports it to the edge of the field for shipment to a lab.

Swarm robots to plant seeds

The robots use satellite navigation to transmit their exact location, which helps operators optimize planting operations. Controlling and optimizing the machines is the responsibility of the OptiVisor algorithm. Fendt’s field robotic system is energy efficient due to its low weight and low-maintenance engine. The grid, farmers’ biogas facilities, wind energy, or fuel cells can all be used to charge the battery. As one of the pioneers in the development of farming tractors in the early twentieth century, Fendt believes that its latest technology solutions may help agriculture take the next big step forward.

The robots send their exact location via satellite navigation, which aids operators in optimizing planting operations. The OptiVisor algorithm is in charge of controlling and optimizing the machines. Because of its low weight and low-maintenance engine, Fendt’s field robotic system is energy efficient. The battery can be charged using the grid, farmers’ biogas facilities, wind energy, or fuel cells. Fendt believes that its latest technology solutions can assist agriculture to take the next significant stride ahead, as one of the pioneers in the creation of farming tractors in the early twentieth century.

Mamut robots to spot plant diseases

Experiments are also being conducted by Cambridge Consultants, a subsidiary of the French engineering firm Altran. The high-tech company is working on Mamut, an AI-powered autonomous robot that uses a stereo camera, an AI system, lidar, and a compass to map and navigate a natural area. Inspection sensors and six 360-degree cameras, one of which is a multispectral imaging camera, are included in the device. Mamut wanders around farm fields, gathering visual data and creating maps to aid farmers in spotting diseases, estimating crop yields, and selecting the best harvesting time. Unlike drones, the robot goes beneath the plants to get more detailed information.

Cambridge Consultants is still training the AI to monitor crops, which is a difficult task. The robot travels around 24 kilometers in eight hours, during which time the developers evaluate functions including collision avoidance, route planning, and route following. Although high-value crop growers expressed the most interest, the company thinks that the Robotics-as-a-Service commercial model will allow the product to reach a larger market. Farmers would only pay for a one-time service, and the technology supplier would own the robot. This allows consumers to adjust their robot usage based on their current needs and cost constraints.

Naio technologies robots

Naio Technologies has a number of robots that can not only operate as the ideal farm laborer, but also conserve and protect the environment.
The robots are capable of weeding, hoeing, and harvesting assistance. “We aim to provide access to the latest technologies to all partners in the agriculture industry, to help grow healthier, more abundant, and ecologically friendly crops,” the team says.

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Global Artificial Intelligence Summit & Awards

If you or your organization is building cutting-edge AI solutions to adapt to a world driven by technology, Please nominate yourself/or your company for GAISA AWARDS 2022.

Please follow the below-given link to nominate:https://gaisa.in/award

All further details regarding the event will be updated on the official website of Gaisa 2022. Please Visit: https://gaisa.in/

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 We are living in an era of social media with an active population of 3.81 billion. Social media has become the favorite baby of many business sectors since it provides a great way to find new clients or nurture their relationships with existing ones. Social media platforms like Facebook, Instagram, etc. are dealing with an unimaginable amount of data that is increasing exponentially with each passing year. 

The analysis and management of bulk data consisting of social media spaces are done through the incorporation of Artificial intelligence and several other technologies. 

As we all know, AI makes a machine think and act accordingly.AI & machine learning together helps various social media platforms make sense of the user-generated data. Ai empowered analysis of voluminous data helps companies to perceive what’s trending, different hashtags, and patterns. Using various algorithms, AI can detect unstructured user comments and thereby offer a customized experience and concede crisis. For example, Facebook with the help of AI grasps the likes & interests of users to serve content accordingly.

Artificial intelligence has great relevance in social media networks. It creates better and more efficient ways for marketing. The influence of AI in social media automates some of the labor-intensive tasks and makes them more focused on higher-value tasks. 

Ai can also dramatically enhance the revenue from your social media investments giving you an insight into effective posts, relevant audiences, and the channels that work best for you.

Let’s now go through some of the Use cases of Ai in social media marketing

• Content creation & Management

Ai helps us to produce and distribute effective sharable content. Ai tool analyses past experiences and learn what works in each channel. It develops the right message at the right time according to the interested audience.

• Social media insights

Several AI-powered tools are used to measure and improve brand equity, detect consumer trends, and understand target audiences. It also recommends what to post and when to post after learning about successfully implemented strategies by others.

• Advertising

Ai tools can literally create effective ads optimized for clicks and conversions.AI can also analyze PPC advertising across Facebook and Instagram, then offers recommendations to improve performance based on data.

• Ai powered chatbots

Businesses use Ai-powered chatbots to answer customer queries. These chatbots can effectively proceed with conversations with consumers and provide them with the required answers.

• Increased security

Artificial intelligence is also used to ensure the security of user data by adding features like user authentication, pattern detection, fraud prevention, etc.

Artificial intelligence is here to stay forever. Ai has a great impact on social media networks. Social media is the biggest virtual market in the future and AI helps it to improve in every possible way. 

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• Programming
  A data scientist will be skilled in one or more programming languages, such as R, Python, SAS, Hadoop, and so on. It is not just about writing code, but also about becoming acquainted with multiple programming environments for data analysis. With the area of data science seeing unprecedented attention and importance in organizations worldwide, a grasp of programming languages and the capacity to adapt to evolving technologies are critical to a data scientist’s success. Any reluctance to use programming tools might be a deal-breaker for a corporation that relies on your expertise to boost its business growth.
• Quantitative Analysis
  This is the essence of the job of a data scientist. A data scientist’s profile includes having a calculated and visceral awareness of a complicated environment and its behavior, munging data that is messy and difficult to deal with, and generating prototypes and models to test hypotheses. Machine learning — supervised and unsupervised learning algorithms, time-series forecasting, data-reduction techniques, neural networks, and so on – are all must-know ideas.
• Math and stats knowledge
  Without statistics, a data scientist and an organization’s future are at risk. Without math and statistics, it will be hard to generate hypotheses based on how a system would respond to changes, make statistically significant assumptions about data variances, define metrics to lay out objectives and measure progress, and draw reliable conclusions from the dataset. Writing code or properly employing functions will also be difficult if a solid basis in arithmetic and statistics is lacking.
• Visualization Skills
  It is well known that humans absorb information more quickly in the form of visuals than in words or figures. Working knowledge of data visualization technologies such as Tableau, Qlikview, Plotly, or Sisense will ensure that a data scientist can confidently convey insights to both a technical and non-technical audience, persuading them of the business value their insights can provide. A data scientist’s success may be determined by familiarising oneself with the concepts of visualizing and presenting attractive data to stakeholders.
• Multivariate Analysis and Linear Algebra
  It may or may not be expressly asked in an interview, but a data scientist may have to design their implementation models in-house at some time. This is especially true when data-driven solutions might result in transformational improvements for the firm. Data science is a relatively recent field with no fixed job definitions. When building out-of-the-box models, a working grasp of linear algebra and multivariable calculus might be useful. In addition, an interviewer may surprise you with a calculus question. A self-assured data scientist will advise them to go for it!

Conclusion
Whether you are an employer or a recruiter, this list of successful data scientists’ skills and qualities can help you find the best candidates. When making your next recruitment, search for applicants that have a solid combination of data intuition, statistical thinking abilities, a “hacker’s spirit,” and a fair dosage of creativity, in addition to technical talents. Data scientists with these qualities will undoubtedly help your organization develop and prosper.

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So, the definitions of S-T-E-M:

Science: The study of Natural World

Technology: Technology loosely refers to any product created to satisfy a need or want. A chair is a technology; thus, could be a pencil. during this context, any product youngsters produce to unravel a haul will be thought to be  https://www.aicra.org/stem-summit-awards/ technology

Engineering: the look method accustomed solve issues

Math: The language of numbers, shapes, and quantities

With these definitions in context, it’s clearer that these components get in hand-in-hand. any individual facing a real-life drawback has to have a decent plan of their setting, have the flexibility to use the resources accessible to handle problems through an experienced style method, and have the flexibility to accurately live numerous quantities associated with the problem at hand.

So, STEM-thinking  https://www.aicra.org/stem-summit-awards/ makes youngsters higher and additional capable those who contribute considerably to society, however, can we introduce such a fancy topic into the carefree world of very little ones? It’s very straightforward. offer youngsters reality issues that exercise totally different skills. this can be not similar to telling a baby “Ramu has 10 mangoes, and his father gave him 10 additional.” youngsters naturally get additional fascinated by the mangoes. the thought is to gift them with issues that have interaction with their curiosity and encourage them to persist until they get an answer. This angle gets constituted in them early in life and helps them face life head-on.

So, at a young age, what reasonably challenges are you able to provide a kid that may catch their fancy and additionally facilitate them exercise their STEM learning- the solution is to style the challenges as play. it’s with this idea that the market contains a separate niche of “STEM-learning  https://www.aicra.org/stem-summit-awards/ toys”, however, these toys specialize in strengthening every component of STEM so as to form a career path during a STEM profession. However, a decent STEM-learning  https://www.aicra.org/stem-summit-awards/  toy develops the core potential of each kid in order that they will ably opt for any path in their life with logic and real insight.

At the tip of the day, the $64000 objective behind STEM-learning  https://www.aicra.org/stem-summit-awards/  is to assist youngsters to develop to be assured and extremely capable distinctive people World Health Organization plan of the box up no matter venture they opt for

As a result, STEM  https://www.aicra.org/stem-summit-awards/  provides possibilities to help us to transition into a knowledge-based economy and improve our environmental and robotic literacy program  https://www.aicra.org/robotics-literacy-program

Follow your passion in STEM  https://www.aicra.org/stem-summit-awards/

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But one of all the largest mistakes a business will build on its journey towards information ability is to overlook the individuals and processes behind the info most firms perceive the importance of analytics and have adopted common best practices, however, fewer than twenty have maximized the potential and achieved analytics at scale. The All-India Council for Robotics and Automation https://www.aicra.org/  offers one amongst the most effective project in #CoE https://www.aicra.org/center-of-excellence  of one that doesn’t need any comparison to alternative establishments within the same field

Establishing an Excellence (Coe)  https://www.aicra.org/center-of-excellence    will facilitate drive the collaboration, communication, and framework necessary to deliver results. It could be a team or program inside a company that has data and experience to unify and accelerate the trail to turning into a data-driven organization.

Coe’s https://www.aicra.org/center-of-excellence    square measure necessary to arrange governance and drive excellence from an analytics perspective. this text can dive into a way to outline and establish Centres of Excellence https://www.aicra.org/center-of-excellence    in your company, additionally as answer some common queries around best practices, benefits, and challenges

A Coe https://www.aicra.org/center-of-excellence    could be a physical or virtual center of information concentrating existing experience and resources in an exceedingly discipline or capability to achieve and sustain foremost performance and worth.”

From a knowledge analytics perspective, this cluster provides work and support to confirm that your firm maximizes its information investment. Organizations will have quite one https://www.aicra.org/center-of-excellence    Coe, as they will be accustomed facilitate progress throughout the corporate, from selling to security.

This weblog could be a product of a Coe https://www.aicra.org/center-of-excellence    at Iteration Insights. we’ve got a content committee that consists of a unit of time, Marketing, Leadership, and consultants. we have a tendency to discuss key trade trends, client feedback, SEO strategy, and more.

Coe advantages include:

Removing barriers to progress

Encouraging collaboration and communication https://www.aicra.org/center-of-excellence    within a company

Providing consistency in organization structure and tools used

Promoting potency and effectiveness in https://www.aicra.org/center-of-excellence    analytics

Setting organization design

Grooming information culture and information competencies

Marketing the worth of the team

Centres of Excellence https://www.aicra.org/center-of-excellence    compose the central system of any organization. they have to be resilient, collaborating across departments, supporting complicated business processes, serving evolving desires, and innovating new solutions. If only one part fails, the info ability of your entire organization is in danger still reach potency in analytics by establishing Coe’s https://www.aicra.org/center-of-excellence    throughout your organization and investment in individuals, processes, technology, and data.

The All-India Council for Robotics and Automation https://www.aicra.org/center-of-excellence is providing certificates program in industry 4.0 which is beneficial for anyone who is interested in Robotics.

AICRA Benefits of NXR Industry 4.0 CoE

Tomorrow belongs to those who prepare for it today

On-premise internships and Faculty development programs

Alka Sachdeva
Secretary – AICRA

https://www.aicra.org/index

+91 9818990294

alka.sachdeva@aicra.org

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