We can predict soil moisture level and motion of predators.
Irrigation system can be monitored .
Damage caused by predators is reduced.
Increased productivity.
Water conservation.
Profit to farmers.
Using IoT as well as GSM, a whole new concept of farming using networks is introduced reducing labor, updating farmers about the live conditions of farms on mobile devices, and presenting its graphical values.
It makes the process handy with the click of a button.
IoT for Smart Agriculture and Villages Vinay Solanki
Leverage IoT and M2M to make our villages and farming sector smarter and more efficient and productive. I talk about how we can use connected solutions to help rural population to become more efficient and productive
Internet of Things (IoT) is the internetworking of physical devices. This system has the ability to transfer data over a network. Mostly without requiring human intervention.Internet-connected to the physical world via ubiquitous sensors.
It is connecting each and everything to the internet.
This is a mini project based on the agricultural system which differs from traditional agricultural system as it is directed by the IOT devices. Some relevant information of conventional system were also discussed to differentiate between both the systems.
We can predict soil moisture level and motion of predators.
Irrigation system can be monitored .
Damage caused by predators is reduced.
Increased productivity.
Water conservation.
Profit to farmers.
Using IoT as well as GSM, a whole new concept of farming using networks is introduced reducing labor, updating farmers about the live conditions of farms on mobile devices, and presenting its graphical values.
It makes the process handy with the click of a button.
IoT for Smart Agriculture and Villages Vinay Solanki
Leverage IoT and M2M to make our villages and farming sector smarter and more efficient and productive. I talk about how we can use connected solutions to help rural population to become more efficient and productive
Internet of Things (IoT) is the internetworking of physical devices. This system has the ability to transfer data over a network. Mostly without requiring human intervention.Internet-connected to the physical world via ubiquitous sensors.
It is connecting each and everything to the internet.
This is a mini project based on the agricultural system which differs from traditional agricultural system as it is directed by the IOT devices. Some relevant information of conventional system were also discussed to differentiate between both the systems.
How are drones used for farming? The use of drones in agriculture is the future. Heavy lift drones capable of crop dusting and drones equipped with multispectral sensors will change the way in which farming is done.
Internet of Things & Its application in Smart AgricultureMohammad Zakriya
As we know Agriculture plays vital role in the development of agricultural country. In India about 70% of population depends upon farming and one third of the nation’s capital comes from farming. Issues concerning agriculture have been always hindering the development of the country. The only solution to this problem is smart agriculture by modernizing the current traditional methods of agriculture. Hence the project aims at making agriculture smart using automation and IoT technologies.
UbiBot’s specializes in providing access to your IoT data wherever and whenever you need. We offer products @ IoT big data platform as well as wireless smart sensors . We have WiFi and GPRS enabled sensors that meant for data monitoring and helpful in bringing high quality IoT gateways.
Artificial Intelligence is one of the emerging technologies in the field of agriculture which tries to simulate human reasoning in intelligent systems. It is making a revolution in agriculture by replacing inefficient traditional methods with more efficient AI based methods. AI is used in agriculture in various ways such as automation, robots, drones, soil and crop monitoring, and predictive analytics. This paper provides various applications of AI tools in agriculture. Matthew N. O. Sadiku | Sarhan M. Musa | Abayomi Ajayi-Majebi "Artificial Intelligence in Agriculture" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-2 , February 2021, URL: https://www.ijtsrd.com/papers/ijtsrd38513.pdf Paper Url: https://www.ijtsrd.com/engineering/electrical-engineering/38513/artificial-intelligence-in-agriculture/matthew-n-o-sadiku
By applying IoT to agriculture it is easy to observe and interact with physical world. Synergizing Internet of Things and Cloud Computing can help the farmers to share useful information regarding cultivation on social networks, and also helps in ensuring global food and farming security
Internet of Things ( IOT) in AgricultureAmey Khebade
Application of IOT in Agriculture
Monitoring soil moisture and temperature
Controlled irrigation
Efficient usage of input like water, fertilizers, pesticides, etc
Reduced cost of production
Connected greenhouses and stables
Livestock monitoring
Download PPT for better design and animation
What are Pros and Cons of Internet of Things?Pixel Crayons
A popular saying that ‘There are two sides of a coin’ is also true in case of Internet of Things. Every emerging technology has a dark side to it, which should be explored and kept in mind while using the technology. ‘Internet of Things (IoT)’, one of the raging technologies, is luring end users with its captivating benefits and features. Let’s have a look at both the pros as well as the cons of using IoT in our daily lives.
How are drones used for farming? The use of drones in agriculture is the future. Heavy lift drones capable of crop dusting and drones equipped with multispectral sensors will change the way in which farming is done.
Internet of Things & Its application in Smart AgricultureMohammad Zakriya
As we know Agriculture plays vital role in the development of agricultural country. In India about 70% of population depends upon farming and one third of the nation’s capital comes from farming. Issues concerning agriculture have been always hindering the development of the country. The only solution to this problem is smart agriculture by modernizing the current traditional methods of agriculture. Hence the project aims at making agriculture smart using automation and IoT technologies.
UbiBot’s specializes in providing access to your IoT data wherever and whenever you need. We offer products @ IoT big data platform as well as wireless smart sensors . We have WiFi and GPRS enabled sensors that meant for data monitoring and helpful in bringing high quality IoT gateways.
Artificial Intelligence is one of the emerging technologies in the field of agriculture which tries to simulate human reasoning in intelligent systems. It is making a revolution in agriculture by replacing inefficient traditional methods with more efficient AI based methods. AI is used in agriculture in various ways such as automation, robots, drones, soil and crop monitoring, and predictive analytics. This paper provides various applications of AI tools in agriculture. Matthew N. O. Sadiku | Sarhan M. Musa | Abayomi Ajayi-Majebi "Artificial Intelligence in Agriculture" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-2 , February 2021, URL: https://www.ijtsrd.com/papers/ijtsrd38513.pdf Paper Url: https://www.ijtsrd.com/engineering/electrical-engineering/38513/artificial-intelligence-in-agriculture/matthew-n-o-sadiku
By applying IoT to agriculture it is easy to observe and interact with physical world. Synergizing Internet of Things and Cloud Computing can help the farmers to share useful information regarding cultivation on social networks, and also helps in ensuring global food and farming security
Internet of Things ( IOT) in AgricultureAmey Khebade
Application of IOT in Agriculture
Monitoring soil moisture and temperature
Controlled irrigation
Efficient usage of input like water, fertilizers, pesticides, etc
Reduced cost of production
Connected greenhouses and stables
Livestock monitoring
Download PPT for better design and animation
What are Pros and Cons of Internet of Things?Pixel Crayons
A popular saying that ‘There are two sides of a coin’ is also true in case of Internet of Things. Every emerging technology has a dark side to it, which should be explored and kept in mind while using the technology. ‘Internet of Things (IoT)’, one of the raging technologies, is luring end users with its captivating benefits and features. Let’s have a look at both the pros as well as the cons of using IoT in our daily lives.
The Internet of Things, also called The Internet of Objects, refers to a wireless network between objects.
By embedding short-range mobile transceivers into a wide array of additional gadgets and everyday items, enabling new forms of communication between people and things, and between things themselves.
IFPRI Egypt Seminar Series provides a platform for all people striving to identify and implement evidence-based policy solutions that sustainably reduce poverty and end hunger and malnutrition. The series is part of the United States Agency for International Development (USAID) funded project called “Evaluating Impact and Building Capacity” (EIBC) that is implemented by IFPRI.
Agriculture is essential to the prosperity of agricultural countries like India.
Thus, the suggested strategy is to use automation and internet of thing (IoT)
technology to make agriculture smart. Applications enabled by the IoTs
include irrigation decision assistance, crop growth monitoring and selection,
and more. an Arduino-powered technology that boosts agricultural
productivity. This study's main goal is to find the least quantity of water
necessary to grow crops. Most farmers squander a lot of time on the fields
rather than concentrating on the water that plants have access to at the right
moment. The suggested system determines the required amount of water
based on the data obtained from the sensors. Two sensors provide data on
the soil's temperature, humidity, amount of sunlight each day, and soil
temperature to the base station. The suggested systems must determine the
amount of water required for irrigation based on these criteria. The system's
main benefit is the use of precision agriculture (PA) in conjunction with
cloud computing, which will maximise the use of water fertilisers while
maximising crop yields and also assist in determining field weather
conditions.
Authors are invited to submit theoretical or empirical papers in all aspects of management, including strategy, human resources, marketing, operations, technology, information systems, finance and accounting, business economics, and public sector management. IJMRR is an international forum for research that advances the theory and practice of management. The journal publishes original works with practical significance and academic value.
IoT Based Intelligent Management System for Agricultural Applicationijtsrd
The growth of technology in any sector is not there in agriculture and this is a problem for India. The government has struggled to do anything for the farming sector which is in an exceptionally deplorable state. The pause in decision making also has led to Indias high rate of unemployment owing to the quality of the economy. The applications in well developed countries involve robotics, aircraft, and artificial intelligence, but they can raise the cost of running and sustain. Currently, operating drones such as these is difficult. In India, only a few farmers can afford to employ such high tech machinery to farm owing to financial constraints. The project is aimed at developing an affordable quad copter for farmers to use on their crops, with the goal of growing their output. We are developing core a framework with support of Raspberry Pi and OpenCV that can help predict crops yield with the help of inputs from numerous different sensor packages. Venkat. P. Patil | Umakant B. Gohatre | Anushka Mhaskar | Akash Jadhav | Prajwal Shetty | Yash Jadhav "IoT Based Intelligent Management System for Agricultural Application" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-2 , February 2021, URL: https://www.ijtsrd.com/papers/ijtsrd38578.pdf Paper Url: https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/38578/iot-based-intelligent-management-system-for-agricultural-application/venkat-p-patil
Presenting a brief of Iot in Agriculture sector. How Iot can be advantageous for Agriculture practices. The presentation included what can be the benefits of Iot in agriculture along their application in different segments of agriculture like greenhouse, irrigation, smart farming etc. Environmental monitoring also plays a major part in agriculture. Implementation of Iot in agriculture also have challanges like high cost of operation, lack of complete access and data privacy related issue. Iot in agriculture have potential to boost productivity with precision of Agricultural operations.
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50 A2 model farmers randomly sampled in Zimbabwe. The findings revealed that McKnight etal. trust in
technology model can be used to influence the adoption of IoT through trusting that the technology will be
reliable and will operate as expected.Additional constructs such as security and distrust of technology can
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1. Prospects of Internet of Things (IoT)
in Agriculture of Bangladesh
Submitted To:
Mohammad Manzurul Islam
Assistant Professor
Department of Computer Science
& Engineering
Stamford University Bangladesh
Submitted By:
Ummea Salma
ID: CSE 052 06634
Yashna Islam
ID: CSE 052 06665
2. Contents
Introduction
Internet of Things (IoT) in general
Scope of IoT in agriculture
Current status of Bangladesh agriculture
Worldwide impact of IoT in agriculture
IoT and related technologies for agriculture
Proposed application of IoT in agriculture of Bangladesh
Conclusion
3. Introduction
About 84% of rural population are directly or indirectly engaged in agricultural
activities [1].
As of 2016, it employs 47% of the total labor forces [1].
Integrating Internet of Things will help alleviate poverty and narrow the digital
divide between urban and rural areas.
[1] "JICA", Jica.go.jp, 2007. [Online]. Available: https://www.jica.go.jp/. [Accessed: 18- Jan- 2017].
4. Internet of Things (IoT) in general
Network of objects that can communicate with each other through internet.
IoT devices can sense and collect data from environment and perform specified
task using their actuators.
5. Scope of IoT in agriculture
Increase afford-ability, accessibility and adaptability
Improve agricultural efficiency, accuracy and economic benefit
IOT can be advantageous for Bangladesh in almost every fields of agriculture
such as:
Irrigation
Pest Control
Livestock monitoring
Green house
Agro-banking services
6. Current status of Bangladesh agriculture
Crop Production Statistics
Table 1: Comparison of crop production in year 2013-14 and the year 2014-15 [2]
Name of crops Production in the year
2013-14 (in metric
tons)
Production in the year
2014-15 (in metric
tons)
Production increased
or decreased (in
percentage)
Aus 23,26,037 23,28,090 0.08% higher
Aman 1,30,23,312 1,31,90,163 1.28% higher
Boro 1,90,07,206 1,91,92,164 0.97% higher
Wheat 13,02,998 13,47,926 3.45% higher
Jute 74,36,228 7,501,011 0.87% higher
Potato 89,50,024 92,54,285 3.40% higher
[2] "Bangladesh Bureau of Statistics", http://bbs.portal.gov.bd/, 2015. [Online].
7. Current status of Bangladesh agriculture
Crop production statistics
Name of crops Production in the
year
2013-14 (in metric
tons)
Production in the
year
2014-15 (in metric
tons)
Production
increased or
decreased (in
percentage)
Sunflower 1,724 2,148 (+) 24.59%
Cotton 19,551 29,714 (+) 51.98%
Tobacco 84,922 94,221 (+) 10.95%
Betel Leaves 1,80,772 1,87,898 (+) 3.94%
Coconut 3,47,474 3,83,833 (+) 10.46%
Onion 1,386,964 1,704,402 (+) 22.89%
Garlic 312,049 345,725 (+) 10.79%
Ginger 77,052 83,004 (+) 7.72%
Banana 770,323 777,427 (+) 0.92%
Mango 992,266 1,018,112 (+) 2.6%
Jackfruit 1,004,316 1,060,793 (+) 5.62%
Soya bean 112,024 91,496 (-) 18.32%
Turmeric 136,214 129,599 (-) 4.86%
Sugarcane 4,508,344 4,434,070 (-) 1.65%
Tea 67,500 66,101 (-) 2.07%
Table 2. Comparison of crop production in year 2013-14 and in year 2014-15 [2]
8. Current status of Bangladesh agriculture
Over dependency on climate factor
Temperature:
A study shows that 10◦C increase in temperature at vegetative,
reproductive and ripening stages can result in a decrease in Aman rice
production by 2.94, 53.06 and 17.28 tons respectively [3], [4].
Production loss for wheat and potato may exceed 60% if temperature
changes [4].
[3] M. Islam, M. Baten, M. Hossain, and M. Islam, “Impact of few important climatic parameters on aman rice
production in mymensingh district,” Journal of Environmental Science and Natural Resources, vol. 1, no. 2, pp. 49–54,
2008.
[4] Z. Karim, “Preliminary agricultural vulnerability assessment: drought impacts due to climate change in
bangladesh,” in Intergovernmental Panelon Climate Change Eastern Hemisphere Workshop on Vulnerability
Assessment to Sea-Level Rise and Coastal Zone Management, Tsukuba, Japan, August, 1993, pp. 3–6.
9. Current status of Bangladesh agriculture
Over dependency on climate factor
Rainfall:
Less rainfall will lead to decrease in moisture content of topsoil
Excessive rainfall may result in flooding and water logging.
A study shows that 1mm increase in rainfall at vegetative, reproductive
and ripening stages can result in a decrease in Aman rice
production by 0.036, 0.230 and 0.292 tons respectively [3], [4].
10. Current status of Bangladesh agriculture
Aquaculture:
According to a study [8] fisheries sector helped to reduce poverty by
2.1%.
Fisheries contribute 3.7% to country’s overall GDP and 23% to
agricultural GDP [8].
Livestock:
Name of livestock animals Population (in million)
Cattle 25.7
Buffaloes 0.83
Goats 14.8
Sheep 1.9
Chicken 118.7
Ducks 34.1
Table 3. Livestock population statistics [2]
11. Worldwide impact of IoT in Agriculture
USA
Methods Used in Deciding When
to Irrigate
2003 2013
2003-2013
(% Growth)
Any Method 220,163 229,237 4.1%
Condition of Crop 175,560 179,490 2.2%
Feel of the Soil 76,731 90,361 17.8%
Personal Calendar Schedule 42,551 49,048 15.3%
Scheduled by Water Delivery Organization 26,537 37,301 40.6%
All Moisture Sensing Devices 17,645 26,325 49.2%
Commercial or Government
Scheduling Service
14,190 17,982 26.7%
Reports on Daily Crop-Water
Evapo-Transpiration (ET)
15,323 17,815 16.3%
When Neighbors Begin to Irrigate 14,080 13,717 -2.6%
Computer Simulation Models 1,285 1,915 49.0%
Table 4. Methods used in deciding when to irrigate, 2003 and 2013
12. Impact of IoT in Agriculture worldwide
Kenya
Sensor integrated greenhouse that monitors environmental parameters.
Monitoring done by the farmer remotely through their mobile phone.
Irrigation system inside the greenhouse can be done from anywhere via
SMS.
Australia
Future dairy- a farm where robots are used for milking cows.
“SwagBot”– a robotic cowboy developed by University of Sydney to
monitor health of livestock.
Japan
Robot fruit pickers that recognizes ripe strawberries and tomatoes based on
the color.
13. Impact of IoT in Agriculture worldwide
Malaysia
MIMOS- developed an IoT platform to capture environmental data
Use sensors to detect the right time to pollinate oil palm flowers
Philippine
Collaborated with FAO to use drones to provide rich spatial data
Use satellites to forecast weather conditions and gather data on pest attacks
14. Impact of IoT in Agriculture worldwide
Thailand
A team from Mahidol University is working on drones to monitor crop
conditions and ground robots
Developed a weather forecast system to help farmers.
South Korea
Real-time data of temperatures and humidity are collected using sensors.
Use surveillance cameras to monitor greenhouses and farms to save travel
time
Sudan
Field Look- an e-agriculture project uses satellite images to improve
water management and crop husbandry.
15. IoT and related technologies for
agriculture
Wireless Sensor Network (WSN)
WSN and IoT might be great tools for agriculture as these two technologies can
provide high-resolution comprehensive sensing data.
Application in agriculture
Pasture assessment
Crop monitoring
Soil moisture
Greenhouse
Precision agriculture
16. IoT and related technologies for
agriculture
Radio Frequency Identification (RFID)
RFID sensors can recognize objects and identify their location without
referencing the physical aspects.
Implementation in agriculture
Animal identification and tracking
Precision agriculture
17. IoT and related technologies for
agriculture
Big Data Analytics
Big data analytics tools are used to handle huge amount of data transmitted
from IoT devices.
Application in agriculture
Lettuce Bot can identify plants and weeds instantly from a database of
millions of plant images.
IBM Deep Thunder provides hyper local weather forecasts
18. IoT and related technologies for
agriculture
Cloud computing
A delivery model for technology-enabled services that drives greater agility,
speed and cost savings by providing on-demand access via a network.
Application in agriculture
Pesticides, fertilizers and seeds
Soil health
Crops and farm machinery
Weather forecast
Irrigation Infrastructure
Commodity Prices and Arrivals
Livestock Management
Market Information and infrastructure
19. IoT and related technologies for
agriculture
Satellite technology
Satellite technology can be used for weather information, variable rate
application and land parcel measurement.
Application in agriculture
Earth-I can delivers satellite images of wide areas
Geoimage Satellite is used to monitor paddock areas
CSIRO Livestock Satellite used to measure biomass or feed
20. IoT and related technologies for
agriculture
Drone technology
Drones will give the agriculture industry a high-technology makeover, with
planning and strategy based on real-time data gathering and processing.
Agricultural application
Soil and field analysis
Planting
Crop spraying and monitoring
Irrigation
Health assessment
Commercial drones for agriculture
eBee SQ
Lancaster Precision Hawk
Honeycorp AgDrone
21. Proposed application of IoT in agriculture of
Bangladesh
Drip irrigation
An artificial method where water is provided to the roots of the plants drip
by drip
Parameters to consider when creating this drip irrigation system are
humidity,
temperature, soil moisture and water level.
The data on parameters are collected and linked by sensors which are
monitored over a wireless network.
Solar and wind can be fed into the sensors to automate the system.
22. Proposed application of IoT in agriculture in
Bangladesh
Weather forecast
Big data analytics tool can be used to analyze weather data to reduce
agricultural risk
Life cycle of pests can be monitored using weather data and control
outbreaks
23. Proposed application of IoT in agriculture in
Bangladesh
Livestock Monitoring
RFID technology can be used to track the position of the animal to prevent
livestock theft.
Tracking and monitoring an animal’s location can help a farmer to locate a
sick animal and recognize the movement patterns for each if appears
abnormal.
Greenhouse
self-regulating, micro-climate controlled environment for optimal plant
growth
Critical climatic conditions are collected in real time and transmitted
through wireless sensor network.
24. Conclusion
Limitation of IoT proposed application
Reliable Internet Connection
Cost
Power failure
Unemployment
Training farmers