Annotated Bibliography | Organic farm fertiliser based on IoT-Sensor and Automation Project. (2023)

Bong, C. P., Lim, L. Y., Lee, C. T., Van Fan, Y., & Klemes, J. J. (2018). The role of smart waste management in smart agriculture. Chemical Engineering Transactions, 70, 937-942.

Doshi, J., Patel, T., & kumar Bharti, S. (2019). Smart Farming using IoT, a solution for optimally monitoring farming conditions. Procedia Computer Science, 160, 746-751.

Elijah, O., Rahman, T. A., Orikumhi, I., Leow, C. Y., & Hindia, M. N. (2018). An overview of Internet of Things (IoT) and data analytics in agriculture: Benefits and challenges. IEEE Internet of Things Journal, 5(5), 3758-3773.

Gorli, R. (2017). Future of Smart Farming with Internet of Things. Journal of Agriculture and Water Works Engineering, 1(1).

Guardo, E., Di Stefano, A., La Corte, A., Sapienza, M., & Scatà, M. (2018). A fog computing-based iot framework for precision agriculture. Journal of Internet Technology, 19(5), 1401-1411.

Jeba, N., Lingareddy, S. C., Kowsalya, P., Sree, S. M., & Swetha, S. (2018). Anomaly Detection to Enhance Crop Productivity in Smart Farming. International Journal of Pure and Applied Mathematics, 120(6), 11503-11511.

Kadam, K., Chavan, G. T., Chavan, U., Shah, R., & Kumar, P. (2018). Smart and precision polyhouse farming using visible light communication and internet of things. In Intelligent Computing and Information and Communication (pp. 247-256). Springer, Singapore.

Navulur, S., & Prasad, M. G. (2017). Agricultural management through wireless sensors and internet of things. International Journal of Electrical and Computer Engineering, 7(6), 3492.

Patel, K. K., & Patel, S. M. (2016). Internet of things-IOT: definition, characteristics, architecture, enabling technologies, application & future challenges. International journal of engineering science and computing, 6(5).

Ray, P. P. (2017). Internet of things for smart agriculture: Technologies, practices and future direction. Journal of Ambient Intelligence and Smart Environments, 9(4), 395-420.

(Video) IoT: Powering the Digital Economy - The B2B Agriculture Sector | Schneider Electric

Saha, H. N. (August, 2017). Waste management using Internet of Things (IoT). 8th annual industrial automation and electromechanical engineering conference (IEMECON) (pp. 359-363). IEEE.

Swapna, B., & Manivannan, S. (2018). Analysis: smart agriculture and landslides monitoring system using internet of things (IoT). Int. J. Pure Appl. Math, 118(24), 1-7.

Vermesan, O., & Friess, P. (Eds.). (2015). Building the hyperconnected society: Internet of things research and innovation value chains, ecosystems and markets (Vol. 43). River Publishers.

Bong, C. P., Lim, L. Y., Lee, C. T., Van Fan, Y., & Klemes, J. J. (2018). The role of smart waste management in smart agriculture. Chemical Engineering Transactions, 70, 937-942.

The article reflects that the need of the hour is to automate and improve agricultural practices. As the natural resources are scare and foods requirement is ever rising, better return from agriculture is always the priority. The article aims at showing how smart agriculture can be realised through the applications of IoT. The finding exemplifies that IoT will enhance agriculture product while making optimum use of resources. The article is useful as it emphasises that agricultural waste monitoring, collection and management through sensor networks can help in transforming waste to resource. The article infers that IoT application in agriculture can increase the efficiency of agricultural practices through intelligent approach to waste management. The paper is 2018 Chemical Engineering Transactions and has been cited 6 times.

Doshi, J., Patel, T., & kumar Bharti, S. (2019). Smart Farming using IoT, a solution for optimally monitoring farming conditions. Procedia Computer Science, 160, 746-751.

The article emphasises that IoT has the potential of improving the outcome of processes at present and also in near future. The article aims at showing how intelligent approach to any field using a sensor network can enhance its efficiency and yield. The article is useful in the current scenario as there is an increasing need in using smarter devices in farming. The search shows that with this new age agricultural approach, farmers can access live data on soil moisture, humidity, temperature, etc. while saving resources like water and fertilizers, and increasing crop yield. The application of IoT can help in making farming cost efficient for the farmers. The paper is 2019 Procedia Computer Science and has not been cited yet

Elijah, O., Rahman, T. A., Orikumhi, I., Leow, C. Y., & Hindia, M. N. (2018). An overview of Internet of Things (IoT) and data analytics in agriculture: Benefits and challenges. IEEE Internet of Things Journal, 5(5), 3758-3773.

The article highlights the need of applying Internet of Things (IoT) to have more growth in the productivity and efficiency of the agricultural sector. The paper indicates the benefits of implementation of IoT in agriculture through technologies like cloud computing, radio frequency, WSN, end-user applications, etc. The article uses secondary research methodology to show the benefits and challenges of IoT application in agriculture. The limitation of the article is that it does not mention the solutions to sectoral, business and technical challenges of IoT application. It can be inferred that the article shows the future opportunities that could be attained through technological innovations and marketability. The paper is 2018 IEEE Internet of Things Journal and has been cited 129 times.

Gorli, R. (2017). Future of Smart Farming with Internet of Things. Journal of Agriculture and Water Works Engineering, 1(1).

(Video) Smart Agriculture Project using IoT | Smart Farm | RFID & IoT Monitoring System in Farms

The article reflects on the importance of IoT in making agricultural practices more sophisticated and technology based. As agriculture is the base of survival for the world, the article aims at highlighting how the use of smarter technologies, IoT and automation is helping the sector to improve its productivity. The secondary research method is used for finding vital results showing how up gradation in sensor technology can bring higher returns to agriculture. This paper is useful as it emphasises on smart farming methods. The limitation of the article is that it does not make use of any case study to examine the outcome of IoT application. It can be inferred that networked agricultural practices can offer better yield. The paper is 2017 Journal of Agriculture and Water Works Engineering and has be

Guardo, E., Di Stefano, A., La Corte, A., Sapienza, M., & Scatà, M. (2018). A fog computing-based iot framework for precision agriculture. Journal of Internet Technology, 19(5), 1401-1411.

The article emphasises on the need of making agriculture network oriented because huge data needs to be collected, analysed and processed. The article aims at showing how IoT and cloud computing can facilitate the agricultural practices. The findings illustrates that Smart agriculture backed by sensor network is the demand of the new era. The article is useful as it proposes the use of Fog computing IoT which will reduce the time in waiting, reduce the problem of data transmission and enhance the computational results. It can be inferred that the article is successful in establishing that IoT can improve the management of land, monitoring of the farming process, etc. giving better returns to agriculture. The paper is 2018 Journal of Internet Technology and has been cited 8 times.

Jeba, N., Lingareddy, S. C., Kowsalya, P., Sree, S. M., & Swetha, S. (2018). Anomaly Detection to Enhance Crop Productivity in Smart Farming. International Journal of Pure and Applied Mathematics, 120(6), 11503-11511.

The article examines that the application of modern technologies into agriculture are reflected by smart farming. The major advantage that is provided by smart farming is that it provides high-precision control of crops. The article aims to show that latest technology initiates better production of crops. In order to gather data, the researcher used ThingSpeak that helped to visualize the data gathered. The findings point up that the IoT is used to carry out a test of crops thus giving their details. The article is limited to its results as the terms such as Aduino UNO as well as pH Sensor has made it little complicated. It could be concluded that the intended system has been able to accomplish an enhanced way to develop crop production. I found it quite relatable to my topic. The paper is 2018 International Journal of Pure and Applied Mathematics and has not been cited yet.

Kadam, K., Chavan, G. T., Chavan, U., Shah, R., & Kumar, P. (2018). Smart and precision polyhouse farming using visible light communication and internet of things. In Intelligent Computing and Information and Communication (pp. 247-256). Springer, Singapore.

This article emphasises on the need of using IoT and sensor network in Polyfarming as it requires less attention than systems which are manually controlled. The aim of the article is to show how IoT helps in automation of polyhouse through cloud based data. The article uses case study method for conducting the research. This article is useful as it ensures sustainable and completely automated polyhouse farming through IoT and Visible Light Communication (VLC). The limitation of the paper is that it does not highlight the limitations of IoT and VLC while it emphasises on drawbacks of previously used systems. It can be concluded from the article that IoT and sensor networks can open a new gateway in agriculture. The paper is 2018 Springer, Singapore and has been cited 4 times.

Navulur, S., & Prasad, M. G. (2017). Agricultural management through wireless sensors and internet of things. International Journal of Electrical and Computer Engineering, 7(6), 3492.

The article provides an overview that agriculture plays an imperative role in almost every country. The article aims to show that it has turned out to be imperative for the agricultural industry to become SMART. The findings illustrate that the advent of internet will help to monitor soil more remotely. All the datas are gathered with the help of range of wireless sensors. This has made sensing agricultural activities easier. The article is useful as it shows the way solar powered remote management initiates agricultural movements. It could be inferred that SMART agriculture has made it easier to carry out organic farm fertilizing. The paper is 2017 International Journal of Electrical and Computer Engineering and has been cited 25 times.

Patel, K. K., & Patel, S. M. (2016). Internet of things-IOT: definition, characteristics, architecture, enabling technologies, application & future challenges. International journal of engineering science and computing, 6(5).

(Video) Automated Hydroponics with Remote Monitoring and Control Using IoT

The article gives an overview of what IoT is and how its application can be beneficial in yielding better results in a particular field. The article aims at establishing that the use of sensors-based equipment, data analysis, networked information and communication, can help in improving the results of a process. The article is useful as it highlights how IoT can help in better tracing, positioning, smarter recognition, administration and monitoring. However, the drawback of this article is it don’t give back the concrete solution to the challenges of IoT. We conclude this article by saying that IoT has huge potential to improve the operation and management of processes. The paper is 2016 International journal of engineering, science and computing and has been cited 217 times.

Ray, P. P. (2017). Internet of things for smart agriculture: Technologies, practices and future direction. Journal of Ambient Intelligence and Smart Environments, 9(4), 395-420.

The article examines the new direction which IoT has opened in the domain of agriculture using innovative research. The article aims at showing the potential of IoT applications and its challenges when deployed in agricultural practices. The finding illustrates that the case study method has been used in the article for research. The article is useful as it indicates how “IOT” application can help in making agriculture smarter. The article, however, does not highlight the limitations of wireless communication and IoT devices. It can be concluded that IoT can provide a roadmap to the agricultural sector for the future and along with improvement in factors directly affecting farming operations. The paper is 2017 Journal of Ambient Intelligence and Smart Environments and has been cited 101 times.

Saha, H. N., Auddy, S., Pal, S., Kumar, S., Pandey, S., Singh, R., … & Saha, S. (2017, August). Waste management using Internet of Things (IoT). In2017 8th annual industrial automation and electromechanical engineering conference (IEMECON)(pp. 359-363). IEEE.

The article examines how the application of IoT can help in the management of wastes which is an integral part of agricultural practices. The article aims at showing how the waste if well managed has the potential of transforming into a resource. The finding illustrates that the waste can be better managed, reduced and re-employed in the agricultural process through the efficient use of IoT. The article is useful as it shows the ways in which waste could be reused for animal feeding, fermenting, composting, land filling, etc. The article concludes that the solution to effective waste management and its utilization is IoT and sensor network. The paper is 2017 IEEE IEMECON and has been cited 22 times.

Swapna, B., & Manivannan, S. (2018). Analysis: smart agriculture and landslides monitoring system using internet of things (IoT). Int. J. Pure Appl. Math, 118(24), 1-7.

The article shows that agriculture is regarded as a procedure that helps to cultivate plants. Challenges take place when the capacity to produce crops in crops deteriorates. The aim is to comprehend in order to improve organic fertilization, it is imperative to intervene the internet of things. The finding illustrates that the methodology that has been used includes components design as well as sensors which moisturises soils. The usefulness of this article lies in a fact that it shows the way IoT helps in landslides monitoring. The limitation of this article is that it does not describe the sensors briefly. It could be concluded that agricultural change could be depicted with a help of Wireless Sensor Networks. This paper is 2018 Int. J. Pure Appl. Math and has been cited once.

Vermesan, O., & Friess, P. (Eds.). (2015). Building the hyperconnected society: Internet of things research and innovation value chains, ecosystems and markets (Vol. 43). River Publishers.

The article examines that the internet of things has helped to alter the digital single market. The findings reflect on the fact that internet of things as a part of organic fertilizer has been able to result in a genuine paradigm. The article is useful as it has been able to provide an outstanding platform in order to initiate vibrant development in agriculture with a support of IOT in it. This also reflects on how good the market and ecosystem are affected and useful. The limitation in the article is that it the technology that has been related to internet of things are challenged. The paper is 2015 River Publishers and has been cited 67 times.

Originality in a report is highly imperative as it helps to produce innovative knowledge rather than summarizing what is already written. As a result, it is imperious to observe as well as experiment new facts that will help to solve existing issues. As per my originality report my similarities are 0%, I inferred that a report becomes original when the researcher details the research methods as well as interpret the results on their own. The after submitting with whole ready document it is 36% which are mostly the citations which are used 3 times one in listing the annotated bibliography, explaining the annotated bibliography individually and the references due to which the percentage is higher. As a result, originality in a report is crucial as it also helps to avoid plagiarism. This in turn aids to contribute new knowledge to the research.

(Video) All about AgriOs: How to farm better using IoT

Bong, C. P., Lim, L. Y., Lee, C. T., Van Fan, Y., & Klemes, J. J. (2018). The role of smart waste management in smart agriculture. Chemical Engineering Transactions, 70, 937-942.

Doshi, J., Patel, T., & kumar Bharti, S. (2019). Smart Farming using IoT, a solution for optimally monitoring farming conditions. Procedia Computer Science, 160, 746-751.

Elijah, O., Rahman, T. A., Orikumhi, I., Leow, C. Y., & Hindia, M. N. (2018). An overview of Internet of Things (IoT) and data analytics in agriculture: Benefits and challenges. IEEE Internet of Things Journal, 5(5), 3758-3773.

Gorli, R. (2017). Future of Smart Farming with Internet of Things. Journal of Agriculture and Water Works Engineering, 1(1).

Guardo, E., Di Stefano, A., La Corte, A., Sapienza, M., & Scatà, M. (2018). A fog computing-based iot framework for precision agriculture. Journal of Internet Technology, 19(5), 1401-1411.

Jeba, N., Lingareddy, S. C., Kowsalya, P., Sree, S. M., & Swetha, S. (2018). Anomaly Detection to Enhance Crop Productivity in Smart Farming. International Journal of Pure and Applied Mathematics, 120(6), 11503-11511.

Kadam, K., Chavan, G. T., Chavan, U., Shah, R., & Kumar, P. (2018). Smart and precision polyhouse farming using visible light communication and internet of things. In Intelligent Computing and Information and Communication (pp. 247-256). Springer, Singapore.

Navulur, S., & Prasad, M. G. (2017). Agricultural management through wireless sensors and internet of things. International Journal of Electrical and Computer Engineering, 7(6), 3492.

Patel, K. K., & Patel, S. M. (2016). Internet of things-IOT: definition, characteristics, architecture, enabling technologies, application & future challenges. International journal of engineering science and computing, 6(5).

Ray, P. P. (2017). Internet of things for smart agriculture: Technologies, practices and future direction. Journal of Ambient Intelligence and Smart Environments, 9(4), 395-420.

(Video) GROW: wireless sensors for smart farming applications in horticulture

Saha, H. N. (August, 2017). Waste management using Internet of Things (IoT). 8th annual industrial automation and electromechanical engineering conference (IEMECON) (pp. 359-363). IEEE.

Swapna, B., & Manivannan, S. (2018). Analysis: smart agriculture and landslides monitoring system using internet of things (IoT). Int. J. Pure Appl. Math, 118(24), 1-7.

Vermesan, O., & Friess, P. (Eds.). (2015). Building the hyperconnected society: Internet of things research and innovation value chains, ecosystems and markets (Vol. 43). River Publishers.

FAQs

What is the role of sensors and IoT in smart farming? ›

IoT smart agriculture products are designed to help monitor crop fields using sensors and by automating irrigation systems. As a result, farmers and associated brands can easily monitor the field conditions from anywhere without any hassle.

How is IoT used in agriculture automation? ›

IoT in agriculture is designed to help farmers monitor vital information like humidity, air temperature and soil quality using remote sensors, and to improve yields, plan more efficient irrigation, and make harvest forecasts.

Which IoT sensors are used in agriculture? ›

What are the types of sensors used in agriculture?
  • Optical Sensors In Agriculture. ...
  • Electrochemical Sensors For Soil Nutrient Detection. ...
  • Mechanical Soil Sensors For Agriculture. ...
  • Dielectric Soil Moisture Sensors. ...
  • Location Sensors In Agriculture. ...
  • Electronic Sensors. ...
  • Airflow Sensors. ...
  • Agriculture Sensors IoT.

How sensor technology is helpful in agriculture? ›

Electrochemical Sensors provide key information required in precision agriculture: pH and soil nutrient levels. Sensor electrodes work by detecting specific ions in the soil. Currently, sensors mounted to specially designed “sleds” help gather, process, and map soil chemical data.

How IoT can benefit farmers in agriculture? ›

Smart farming, which is based on IoT technology, helps reduce waste and improves farm productivity. Besides, it allows for the efficient use of resources such as water, fuel, electricity, and labor. Consequently, production rates have increased dramatically to meet the demand.

What is the purpose of agriculture automation? ›

In its simplest definition, automation farming covers all the practices that help with planting and harvesting with the aid of machines and other devices. These devices can be found on the farm itself, such as machinery to perform tasks more quickly and efficiently, or machines that help with precision and accuracy.

What are the best applications of the IoT in agriculture? ›

Applications of IoT in Agriculture
  • Precision Farming. ...
  • Agricultural Drones. ...
  • Livestock Monitoring. ...
  • Smart Greenhouses. ...
  • Monitor Climate Conditions. ...
  • Remote sensing. ...
  • Computer imaging.
22 Dec 2020

How does an IoT will impact the future of farming? ›

One specific type of IoT product that allows for precision farming are crop management devices. Similar to weather stations, they can be placed in the field to collect data specific to crop farming. Factors that can be tracked include temperature, precipitation, leaf water potential, and overall crop health.

What type of sensors do farmers use? ›

Electrochemical Sensors provide key information required in precision agriculture: pH and soil nutrient levels. Sensor electrodes work by detecting specific ions in the soil. Currently, sensors mounted to specially designed “sleds” help gather, process, and map soil chemical data.

How IoT can transform the agriculture farming sector? ›

IoT has the potential to transform the agriculture sector in many aspects like:
  • Data analytics: ...
  • Agricultural Drones. ...
  • Livestock tracking and geofencing. ...
  • Smart Greenhouses. ...
  • Predictive analytics for smart farming.

What are the benefits of sensor technology? ›

The key advantages of sensors include improved sensitivity during data capture, almost lossless transmission, and continuous, real-time analysis. Real-time feedback, and data analytics services ensure that processes are active, and are executed optimally.

What is the current situation of IoT in farming? ›

The Internet of Things, or IoT, refers to devices or 'things' embedded with sensors so they can measure and transmit data via a network. When it comes to IoT in agriculture, a 'thing' could be a tractor, shed, weather station or sheep. It could even be a person.

What is the conclusion of Smart Farming? ›

Smart farming reduces the ecological footprint of farming. Minimized or site-specific application of inputs, such as fertilizers and pesticides, in precision agriculture systems will mitigate leaching problems as well as the emission of greenhouse gases (6).

Why IoT agriculture is important? ›

The Internet of Things technology can be used in the farming process to boost farm efficiency and productivity. The IoT devices, such as irrigation devices, sensors, and soil moisture sensors, collect and process the data for monitoring soil, temperature, air pressure, rainfall, crop health, and pest detection.

What are 5 examples of IoT applications? ›

List of Top 10 Applications of IoT
  • Smart Homes.
  • Smart City.
  • Self-driven Cars.
  • IoT Retail Shops.
  • Farming.
  • Wearables.
  • Smart Grids.
  • Industrial Internet.

How is the IoT helping farmers? ›

IoT based Smart Farming improves the entire Agriculture system by monitoring the field in real-time. With the help of sensors and interconnectivity, the Internet of Things in Agriculture has not only saved the time of the farmers but has also reduced the extravagant use of resources such as Water and Electricity.

Why sensors are used in food industry? ›

Sensors are used to measure and control parameters such as temperature, pressure, liquid or solid levels, pressure and weight. Liquid level sensors are used to for in-line measurement and control of the food processing operation.

What is IoT based smart agriculture monitoring? ›

When the IOT based agriculture monitoring system starts it checks the water level, humidity and moisture level. It sends SMS alert on the phone about the levels. Sensors sense the level of water if it goes down, it automatically starts the water pump. If the temperature goes above the level, fan starts.

What are the most important characteristics or features of IoT? ›

Answer: IoT has ten major features, and they are- scalability, connectivity, artificial intelligence, security, dynamic nature, endpoint management, integration, analyzing, and compact nature of devices.

What kind of problems can IoT solve for agri food? ›

The use of IoT-based smart agriculture applications is becoming commonplace and encouraging results are ensuring that their use is becoming more widespread in farms. More efficient water usage via embedded sensors, drones that collect data on crops and self-driving tractors are but three examples.

What is the main purpose of sensors? ›

A sensor converts the physical action to be measured into an electrical equivalent and processes it so that the electrical signals can be easily sent and further processed. The sensor can output whether an object is present or not present (binary) or what measurement value has been reached (analog or digital).

Why is IoT sensor important? ›

Sensors play an important role in creating solutions using IoT. Sensors are devices that detect external information, replacing it with a signal that humans and machines can distinguish.

What is the impact of sensor technology to the community? ›

Sensors are being used in communities worldwide to measure and assess their air pollution problem. The impact of this is that the data they collect helps to guide public policies that aim to make appropriate adjustments to keep us and the ecosystem safe.

Which sensors can be used in IoT? ›

IoT sensors have become critical to improving operational efficiency, reducing costs and enhancing worker safety.
  • Temperature Sensors. ...
  • Humidity Sensors. ...
  • Pressure Sensors. ...
  • Proximity Sensors. ...
  • Level Sensors. ...
  • Accelerometers. ...
  • Gyroscope. ...
  • Gas Sensors.
12 Oct 2021

What sensors are used in agriculture drones? ›

Thermal. Besides the RGB and multispectral cameras, thermal cameras are also used with drones for agriculture applications (Figure 1c). Thermal cameras detect radiation in the long-wavelength infrared region (8,000–14,000 nm).

Which sensors can be used to detect intrusion in an agricultural land? ›

The Passive Infrared Sensors (PIR Sensors) installed are used to detect motion of the intruder which activates the camera as well as notify the owner about the intrusion in his land. And this information or the captured image of the intruder can be displayed on the monitor for the reference of the farmer.

What are the most widely used sensors in IoT? ›

Ultrasonic sensors are widely used in the IoT industry for measuring the distance of an object with the help of ultrasonic sound waves. The ultrasonic sound waves get reflected by the object which is then converted into electrical signals.

Which sensor is used in automation? ›

Discrete and analog sensors are critical for automating any machine or process. A wide range of reliable, low-cost sensors detects position, speed, proximity, pressure, temperature, level, flow, current and voltage.

What is the importance of sensors in IoT? ›

Sensors play an important role in creating solutions using IoT. Sensors are devices that detect external information, replacing it with a signal that humans and machines can distinguish.

What is the difference between IoT and sensor? ›

The term “the internet of thing” is more encompassing of everything connected to the internet compared to “wireless sensors” and so it can be interpreted as a group of many IoT devices IoT is at a higher level than wireless sensors and wireless sensors are often used within an IoT system to gather information and data ...

What are the benefits of using drones in agriculture? ›

There are several functions that farmers and other agribusiness owners can use agricultural drone services for, including:
  • Land imaging.
  • Surveying topography and boundaries.
  • Soil monitoring.
  • Livestock movement and counting.
  • Irrigation monitoring.
  • Spraying needs.
  • Collecting soil and water samples.
  • Troubleshooting.

How drones are used to improve efficiency in the agricultural industry? ›

Drones help reduce the time that this takes and supports finding areas where the crop needs special attention. With precise and accurate sensors, drones can determine water stress, low crop nutrients and poor soil health.

What are the four major sensors used in a drone? ›

MTRI deploys multiple sensors aboard its fleet of unmanned autonomous vehicles (UAVs) to collect critical project data.
  • Optical Cameras. ...
  • Thermal Sensors. ...
  • Lidar (Light Detection and Ranging) Sensor. ...
  • Ground Penetrating Radar (GPR) Sensor and Antenna Configuration. ...
  • Lightweight Portable Radiometer (LPR)

How IoT is used in agriculture and health monitoring? ›

Cost-effective and Time-saving: IoT devices serve the purpose of periodical testing. Farmers can rely on these devices to check the humidity level and temperature of the soil, and save a lot of time and resources. They can choose the ideal crop for the prevailing conditions to ensure productivity and profitability.

How IoT can monitor the environment to help in agriculture? ›

Dedicated sensors to optimize farming operations

Satellite images have been used to monitor farms for several years. Using drones equipped with a GPS system, farmers can collect data or images in real time to check soil moisture or the condition of crops and plantations.

What is the most important application of IoT? ›

The most visible application of the Internet of Things is a smart home. A smart home uses sensors to control and maintain lighting, resource management, and security systems. A smart home is a smaller, independent version of a smart city. An example of an IoT-based smart home system is Mark Zuckerberg's Jarvis.

What are IoT sensors give examples? ›

11 Examples of IoT Sensors & How Data Is Used in 2021
  • Temperature Sensors. Temperature sensors detect temperature changes and convert these variations into data. ...
  • Humidity Sensors. ...
  • Solar Cells. ...
  • Pressure Sensors. ...
  • Biomedical Sensors. ...
  • Proximity Sensors. ...
  • Gyroscope sensors. ...
  • Cameras and Optical Sensors.
18 Nov 2021

What are the features of IoT sensors? ›

Answer: IoT has ten major features, and they are- scalability, connectivity, artificial intelligence, security, dynamic nature, endpoint management, integration, analyzing, and compact nature of devices.

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