Journal of Smart and Sustainable Farming
Adoption of Recommended Expert Systems in Agriculture
Journal of Smart and Sustainable Farming
Received On : 15 November 2024
Revised On : 26 December 2024
Accepted On : 28 December 2024
Published On : 05 January 2025
Volume 01, 2025
Pages : 001-011
Abstract
The contemporary agricultural sector heavily depends on expert systems for the identification and eradication of pests. The involvement of human professionals is necessary for the identification and management of these pest-related problems. Obtaining human experts is a challenging task due to their susceptibility to bias in their actions, whether it is deliberate or unintentional. Additionally, human experts tend to exhibit slower processing and retention of extensive data. Furthermore, they possess the ability to avoid accountability for decision-making when they deem it necessary. In contrast to human experts, the computer-based expert system offers the advantage of being accessible at any time and location. An expert system facilitates the integration of human and computer capabilities to effectively tackle a diverse array of problems. Expert systems enhance the probability, frequency, and uniformity of sound decision-making processes. They facilitate immediate, cost-effective expert-level decision-making by individuals lacking expertise in the field. Additionally, they optimize the utilization of all accessible data and allow human experts to allocate their attention towards more advanced and innovative endeavors. Given these factors, expert systems have been developed for various crops such as rice, wheat, tomato, rapeseed, mustard, mango, and others. These systems aim to assist farmers in identifying pests and implementing suitable strategies for pest management.
Keywords
Knowledge-Based Systems, Expert Systems, Expert System for Text Animation, Radio Frequency Telemetry, Expert System Language Representation.
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Arulkumar Natarajan, “Adoption of Recommended Expert Systems in Agriculture”, Journal of Smart and Sustainable Farming, pp. 001-011, 05 January 2025, doi: 10.64026/JSSF/2025001.
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© 2025 Arulkumar Natarajan. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.