Crop yield information system using market basket analysis

15 pages•Published: August 6, 2024

M. Maheswari Saravanan, Abdul Rahuman Mohamed Iqbal, Devi Renuka Navaneedha Krishnan, Jany Shabu and J. Refonna Rayen

Abstract

A vital industry, agriculture is essential to maintaining the world's food security. Accurate and timely information on crop yields is essential for farmers, policymakers, and stakeholders to make well-informed choices concerning cultivation, dissemination, and allocation of resources in crop management. Traditional methods of data collection and analysis in agriculture have limitations in terms of efficiency and accuracy. This paper presents a Crop Yield Information System (CYIS) that leverages Market Basket Analysis (MBA) techniques to improve agricultural yield forecasting and offer insightful information for stakeholders in the agriculture sector.
The CYIS is designed to collect and process a vast amount of agricultural data, including historical crop yield records, meteorological data, soil quality information, and market price data. Market Basket Analysis, a well-established data mining technique in retail, is adapted to identify patterns and relationships among various agricultural variables. The application of an MBA in agriculture allows the system to uncover hidden associations between factors such as weather conditions, crop types, and yield outcomes.
Key features of the CYIS include data collection through IoT devices, data pre- processing for quality assurance, and the application of association rule mining algorithms to derive meaningful insights. The system offers a user-friendly interface,enabling farmers, agronomists, and policymakers to access real-time yield predictions,make informed decisions, and implement precision agriculture practices. Furthermore,the CYIS integrates market prices and demand data to provide stakeholders with market insights, facilitating better decision-making related to crop production, storage, and distribution.
This study adds value to the agricultural domain by offering a strong and innovative approach to crop yield prediction and decision support. The CYIS, utilizing Market Basket Analysis, offers a data-driven solution to optimize crop production, reduce resource wastage, and enhance food security. By harnessing the power of data analytics, this system empowers agriculture stakeholders to respond to changing conditions, market dynamics, and climate challenges with more accuracy and efficiency. The Crop Yield Information System using Market Basket Analysis represents a significant step toward enhancing agricultural sustainability and food security. This research opens new avenues for leveraging data analytics in agriculture, and its implementation has the potential to revolutionize how farmers, agronomists, and policymakers approach crop production and distribution.

Keyphrases: algorithms, analysis, artificial, cloud, data, machine

In: Rajakumar G (editor). Proceedings of 6th International Conference on Smart Systems and Inventive Technology, vol 19, pages 157-171.

Links:	https://easychair.org/publications/paper/slWr
	https://doi.org/10.29007/6j5c

BibTeX entry

@inproceedings{ICSSIT2024:Crop_yield_information_system,
  author    = {M. Maheswari Saravanan and Abdul Rahuman Mohamed Iqbal and Devi Renuka Navaneedha Krishnan and Jany Shabu and J. Refonna Rayen},
  title     = {Crop yield information system using market basket analysis},
  booktitle = {Proceedings of 6th International Conference on Smart Systems and Inventive Technology},
  editor    = {Rajakumar G},
  series    = {Kalpa Publications in Computing},
  volume    = {19},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2515-1762},
  url       = {/publications/paper/slWr},
  doi       = {10.29007/6j5c},
  pages     = {157-171},
  year      = {2024}}

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