Smart Farming: Analyzing Techniques, Challenges and Future Directions

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This report explores smart farming, a new concept within the agricultural sector designed to bring about significant changes. It examines the current problems faced, such as climate changes, food shortages, and lack of mechanization, which lead to reduced crop yields and limited data collection. The report proposes solutions through the implementation of smart farming techniques, including the use of IoT, AI, and big data to improve farm management and productivity. It discusses the use of drones, data-driven approaches, and the importance of compliance with relevant regulations. The methodology for research involves collecting primary data and gathering live updates from farms and the agricultural department. The report highlights the benefits of smart farming in automating tasks, improving crop monitoring, and addressing resource constraints. Finally, it outlines the future prospects of smart farming and its potential for sustainable agriculture.
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Smart Farming
Abstract
Problem Domain
Purpose and Justification
Showcase the Impact of Smart Farming Devices
Selection of Methodology for Research
Conceptual or Theoretical Framework
Use of Drones in Farms
Labeling your headers
Compliance Requirements
How to order your poster for printing
References
Smart farming is a new concept that
is implemented within the farming
sector to bring changes in agricultural
sector
The poster discusses the problems
within the sector and proposes
solutions to the problems
The future prospects of research are
also discussed.
The current problems that are faced
within the agricultural department is
based on climate changes, food
shortages and other problems based
on farm profitability
There is a lack of the technique of
mechanization in various agricultural
activities
This results in lack of monitoring
over the crops, which further leads to
poor productivity for the farmers and
hence the business
Gathering live data from farms is also
a current problem that is faced by
farmers.
Discussion on the implementation of
smart farming techniques within the
present agricultural sector
Discuss techniques on the use of
smart mechanization techniques
within agricultural sector
Use of smart farming would reduce
manual work and thus also automate
the different agricultural activities
The impact of smart farming would put
a major impact over the certain areas:
The crop conditions could be
forecasted with a variety of soil,
environmental, fertilisation and
conditions of irrigation
Data-driven approach could be
implemented for the purpose of
addressing different constraints such as
resource and climate changes
IoT, AI and Big Data technology
could prove to be helpful in impacting
the agricultural workplace
The methodology that could be used for
the research is:
Primary data can be collected and then
research can be done
Farmers and agricultural department
would be able to provide live updates
about farming conditions.
The compliance requirements that
should be implemented are:
Tools implemented within farming
sector should comply to rules of
country
The collected data from tools should
be monitored, analysed for future works
Ryu, M., Yun, J., Miao, T., Ahn, I. Y., Choi, S. C., & Kim, J. (2015, November). Design and
implementation of a connected farm for smart farming system. In 2015 IEEE SENSORS (pp.
1-4). IEEE.
Tripicchio, P., Satler, M., Dabisias, G., Ruffaldi, E., & Avizzano, C. A. (2015, July). Towards
smart farming and sustainable agriculture with drones. In 2015 International Conference on
Intelligent Environments (pp. 140-143). IEEE.
Walter, A., Finger, R., Huber, R., & Buchmann, N. (2017). Opinion: Smart farming is key to
developing sustainable agriculture. Proceedings of the National Academy of Sciences, 114(24),
6148-6150.
Wolfert, S., Ge, L., Verdouw, C., & Bogaardt, M. J. (2017). Big data in smart farming–a
review. Agricultural Systems, 153, 69-80.
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