Improve Agricultural Production by Making the Right Decisions for Crop Diseases
- September 4, 2020
- Posted by: RSIS Team
- Categories: Agriculture, IJRIAS
International Journal of Research and Innovation in Applied Science (IJRIAS) | Volume V, Issue V, May 2020 | ISSN 2454-6194
Improve Agricultural Production by Making the Right Decisions for Crop Diseases
Myat Mon Khaing, Khin Shin Thant, Hlaing Htake Khaung Tin
Faculty of Information Science, University of Computer Studies, Hinthada, Myanmar
Abstract: Infectious plant diseases can cause infections, infections, and infections. Infection and Infection. Small organisms infect plants and lose nutrients. Bacteria Insects. Many types of application domains are essential to identify measurement types. This is probably the most important part of a proper diagnostic system. Decisions about crop diseases must be made by the Proposed Decision Support System (DSS). It is a unified computing device which allows decision makers to communicate directly with computers. This system proposes a decision-support system for separating crops using Bayesian Analysis. A key feature of the proposed system is to provide an integrated tool for diagnostic applications. This paper is making the right decisions for crop diseases to improve agricultural production. Therefore, a careful review of the symptoms reported may help with symptoms. The main purpose of this system is to give people information about the diseases they want to know.
Keywords: Agricultural Production, Crop Diseases, Bayesian Classification, Classifier accuracy, Naïve Bayesian Classification.
