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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
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
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].
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.
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
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].
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]
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.
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].
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]
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
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.
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
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.
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
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
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
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
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
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
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.
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
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.
Conclusion
 Limitation of IoT proposed application
 Reliable Internet Connection
 Cost
 Power failure
 Unemployment
 Training farmers
Thank You!!!

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Prospects of IOT in Agriculture of bangladesh

  • 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