Precision agriculture, also known as precision farming or smart farming, is an approach to agricultural management that utilizes technology to optimize various aspects of the farming process. It involves using data, sensors, and other technologies to precisely monitor, manage, and control agricultural activities, with the goal of improving efficiency, productivity, and sustainability.

1. Precision Agriculture
Project With Blockchain
Course: Software Architectural Design and Modeling
Presented By: Jahid (202324090107)
Tarique Hussain (202314090102)
Waqas Muhammad (202314090103)

2. 01 02
03 04
Agenda
Latest Technology
Usage in PA
Architecture
The Need of PA with
Blockchain (Why?)
What is Precision
Agriculture (PA)

3. What is Precision
Agriculture (PA)
01

4. What is Precision Agriculture (PA)
 Precision agriculture, also known as precision farming or smart farming, is an
approach to agricultural management that utilizes technology to optimize
various aspects of the farming process.
 It involves using data, sensors, and other technologies to precisely monitor,
manage, and control agricultural activities, with the goal of improving
efficiency, productivity, and sustainability.

5. What is Precision Agriculture (PA)
 Mobile Apps: Utilized for remote monitoring and management of agricultural
operations (Jagyasi et al., 2013).
 Smart Sensors: Deployed to collect real-time data on soil conditions, crop
health, and environmental factors (Sartori and Brunelli, 2016).
 Drones: Employed for aerial reconnaissance to assess crop health, identify
areas of concern, and optimize resource allocation (Puri et al., 2017).
 Cloud Computing: Enables storage, processing, and analysis of large volumes
of agricultural data, providing actionable insights (Mekala and Viswanathan,
2017).

6. What is Precision Agriculture (PA)
 Artificial Intelligence (AI): Employs machine learning algorithms to interpret
agricultural data and offer predictive analytics (Jha et al., 2019).
 Internet of Things (IoT): Connects devices and equipment across the
agricultural landscape to enable data exchange and automation (Ahmed et al.,
2018).
 Blockchain: Offers a secure and transparent ledger system for tracking and
tracing agricultural products throughout the supply chain (Ge et al., 2017).

7. Latest Technology
Usage in PA
02

8. Latest Technology Usage in PA
The integration of these technologies facilitates various applications in
precision agriculture, including:
 Sensor Technology and IoT: Addressing challenges by enabling
real-time monitoring and control capabilities (Tzounis et al., 2017).
 Agricultural Monitoring Systems: Providing surveillance services
to maintain plant growth and anticipate disease outbreaks
(Khattab et al., 2019; Ibrahim et al., 2019).

9. Latest Technology Usage in PA
 Smart Irrigation Systems: Optimizing water usage through IoT-enabled
irrigation systems to mitigate water scarcity (Huong et al., 2018).
 Web-Based Decision Support Systems: Assisting farmers in making informed
decisions regarding crop production, cost optimization, and market dynamics
(Narra et al., 2020).
 Agricultural Robotics: Revolutionizing agricultural tasks through the
deployment of robotic systems tailored for precision agriculture (Pedersen et
al., 2006).

10. Latest Technology Usage in PA
 Smart Drone Systems: Offering a versatile platform for aerial
reconnaissance and data collection to facilitate crop monitoring and
management (Mogili and Deepak, 2018).
These advancements underscore the transformative potential of precision
agriculture in revolutionizing modern farming practices, enhancing
productivity, and ensuring environmental sustainability.

11. The Need of PA with
Blockchain (Why?)
03

12. The Need of PA with Blockchain (Why?)
 Market Growth Projections for Precision Agriculture:The global
precision agriculture market is set for substantial growth, projected to
reach $10.55 billion USD by 2025 at an average rate of 13.7%
(Xinhuanet, 2020). By 2025, the market is expected to expand to $12.8
billion USD, reflecting a Compound Annual Growth Rate (CAGR) of
12.7% (Markets and Markets, 2020).
These forecasts highlight the escalating demand and promising
opportunities in precision agriculture, emphasizing the increasing
importance of technology in optimizing agricultural practices.

13. Specific Emphasis on the Role of Blockchain
 According to a recent market intelligence report by BIS Research, the adoption
of blockchain technology in precision agriculture and food supply chain markets
is expected to surge from $41.9 million USD in 2018 to a staggering $1.4 billion
USD by 2028 (BIS Research, 2018).
 Blockchain technology holds immense promise in revolutionizing precision
agriculture by offering traceability, transparency, and efficiency in supply chain
management. By establishing immutable records of transactions and
interactions across the agricultural ecosystem, blockchain can enhance trust and
accountability while reducing fraud and inefficiencies.

14. Potential Benefits of Blockchain in Precision Agriculture:

15. Potential Benefits of Blockchain in Precision Agriculture:
 Traceability: Blockchain enables seamless tracking and tracing of agricultural products
from farm to fork, ensuring the integrity and authenticity of food products. This
enhanced traceability fosters consumer trust and confidence in the agricultural
supply chain.
 Transparency: By providing a decentralized and transparent ledger system,
blockchain enhances visibility into the entire supply chain, enabling stakeholders to
access real-time information on product origin, quality, and handling practices.
 Efficiency: Blockchain streamlines transactions and data exchange processes,
reducing administrative burdens and intermediaries in the supply chain. This
increased efficiency translates to cost savings, faster transactions, and improved
resource allocation.

16. Architecture
04

17. Architecture

18. Architecture

19. Architecture

20. Architecture

21. References
 M. K. F. Aldaboubi, “Big Data In Single Player Games,” PhD Thesis, 2020.
 A. Alammary, S. Alhazmi, M. Almasri, and S. Gillani, “Blockchain-based applications in
education: A systematic review,” Applied Sciences, vol. 9, no. 12, p. 2400, 2019.
 N. Deepa et al., “A survey on blockchain for big data: Approaches, opportunities, and
future directions,” arXiv preprint arXiv:2009.00858, 2020.
 Muheidat, Fadi, et al. "Emerging concepts using blockchain and big data." Procedia
Computer Science 198 (2022): 15-22.
 https://www.youtube.com/watch?v=5kF3TxEt-
_A&list=PLqc9MPlwib9nSuyH4oUIwPsyDiZ4bwuEE

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