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Learner Reviews & Feedback for IoT Enabled Farming by EDUCBA

4.3
stars
44 ratings

About the Course

Discover the revolutionizing impact of IoT in agriculture through this comprehensive course. In Module 1, "Introduction to IoT in Agriculture," you'll delve into the fundamentals of smart farming, examining IoT integration, sensor applications, and associated benefits and challenges. Module 2, "IoT Sensors, Devices and Analytics in Smart Agriculture," delves deeper into advanced concepts such as smart machinery, wireless sensor networks, big data management, and predictive analytics for precision agriculture. Gain practical skills and theoretical insights through real-world examples, enabling you to optimize farm management, boost productivity, and ensure sustainability in the evolving agricultural landscape. Target Learner: 1) Farmers and Agronomists: Individuals actively engaged in agricultural production who seek to optimize their farming operations through the integration of IoT devices and data-driven decision-making. 2) Precision Agriculture Specialists: Professionals specializing in precision agriculture techniques, including the use of sensors, drones, GPS technology, and data analytics to maximize crop yield, minimize input costs, and enhance environmental sustainability. 3) Agri-Tech Entrepreneurs: Innovators and entrepreneurs developing IoT solutions for the agriculture sector, including hardware devices, software platforms, and analytics tools aimed at improving farm productivity, efficiency, and sustainability. 4) Agricultural Engineers: Engineers and technologists with a focus on agricultural machinery, automation systems, and smart farming technologies who wish to deepen their understanding of IoT applications in agriculture. 5) Environmental Scientists: Researchers and scientists interested in studying the environmental impact of agricultural practices and exploring IoT solutions for sustainable farming, soil health monitoring, water conservation, and biodiversity preservation. 6) Data Scientists and Analysts: Professionals with expertise in data analysis, machine learning, and statistical modeling who are interested in applying their skills to agricultural datasets generated by IoT sensors and devices. To be successful in this course, you should have a background in: 1) Agriculture or Agronomy: Understanding fundamental concepts of agriculture, crop production, soil science, pest management, and agricultural economics provides a strong foundation for grasping how IoT technologies can be applied in farming contexts. 2) Technology and Engineering: Basic knowledge of electronics, sensors, data communication protocols, and hardware/software integration is helpful for understanding how IoT devices collect, transmit, and analyze agricultural data. 3) IoT and Networking: Familiarity with Internet of Things (IoT) concepts, wireless communication protocols (e.g., Wi-Fi, Bluetooth, Zigbee), and network infrastructure is essential for comprehending the connectivity aspects of IoT-enabled farming systems. 4) Data Analysis and Statistics: Proficiency in data analysis tools and statistical methods is valuable for interpreting agricultural data collected by IoT devices, identifying patterns, and deriving actionable insights to improve farm management decisions. 5) Environmental Science: Knowledge of environmental factors influencing crop growth, such as weather patterns, temperature, humidity, and soil moisture, helps in understanding how IoT sensors can monitor and optimize these conditions for optimal crop yield. 6) Computer Science and Programming: Basic programming skills in languages such as Python, R, or JavaScript are beneficial for working with IoT data, developing custom analytics algorithms, and integrating IoT solutions with other software platforms....

Top reviews

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1 - 18 of 18 Reviews for IoT Enabled Farming

By Sam W

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Jun 30, 2024

Not bad. The material is repetitive and lacks case studies though.

By Anna B

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Aug 29, 2024

As someone who's taken nearly a dozen course on Coursera, I can say that this course falls far below its standards. It is evident that the course was not produced by an expert in the field: the content is simplistic and overly general; the same content (and even the same phrasing) are recycled throughout the course; some content is inconsistent internally; the same stock photos are used repeatedly without adding value. My impression is that this course was put together in one hour by an intern using ChatGPT, who used filler words (e.g., "basically") as she narrated the slides.

By Madhav B J

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Oct 24, 2024

I really appreciate & thank you for informative content

By Sarvesh R

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Mar 23, 2024

Nice Introduction course for IoT Enabled Farming

By Neha S

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Apr 1, 2024

Highly recommend this course.

By SAILEE T

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Mar 22, 2024

Excellent Content.

By rym b

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Sep 2, 2024

it was so helpful

By Deepak D

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Aug 14, 2024

amazing content

By Akshaya M

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Aug 22, 2024

nice

By Samyak L

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Sep 11, 2024

It was an awesome course it give me so much insights on Iot and it's applications which can be used in future for betterment of farmersand agriculture this course help me in gaining skills required to stay in touch with the technological advancements in agriculture

By Dorian R

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Jul 21, 2024

The information was quite informative and has given me further cause to learn more about Smart Agriculture

By Sumit H

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Mar 24, 2024

Great content on IoT Enabled farming, learned about many IoT sensors used in smart agriculture

By Jose M

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Oct 21, 2024

Good course but need more deep information

By Dr. D K Y

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Aug 30, 2024

Experimental work should be included.

By Nandhakumar R

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Aug 11, 2024

Its best

By Mark M

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Sep 5, 2024

There was too much repetition and not enough real life examples. The answers to exam questions were often too obvious.

By Johannes F

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Dec 10, 2024

If you're into repetition repetition repetition repetition then this course if for you. Could be compressed into ~15min.

By yoni y

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Sep 21, 2024

don't waist your time!!! it's seems to me like a school project. nothing more...