Abstract
The agricultural sector faces challenges in selecting suitable crop due to complexity and uncertainty of environmental factors. By using fuzzy technique, we enhance the accuracy in crop selection compare to traditional statistical method. Statistical approaches often rely on precise numerical threshold while, fuzzy logic excels in capturing the vagueness associated with linguistic terms by standard intersection. Considering all parameters like temperature, soil compatibility, water required, production cost and profit enabling farmers to make context aware approach for crop selection. First calculating the gradation of variables and taking minimum intersection of all fuzzy sets from all parameters and then preferring the crop with maximum index. Finite accuracy got by fuzzy logic can be trusted more than statistical method.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
