Loading article...
Loading article...
Stream/Area:
-
Subject:
-
Paper ID:
IJSREM60346
Volume:
10 |
4 |
April 2026
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
âThe paper is a review of intelligent decision support systems that are created to serve smart agriculture, especially the agentic AI-based advisory systems. The currently used methods, which assist in crop selection, market awareness, weather forecasting, and resource planning, are discussed in a systematic way. This analysis shows that the study has discovered the limitations of prediction-centric models that are becoming more critical and the growing necessity of real-time data aggregation, comparative intelligence, and contextual reasoning. These are needed to provide dynamic agricultural and market conditions with adaptive, practical, and farmer-centric decision support.
KEYWORDS
Publication Date
4/15/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
Documents
Article Views
0
Total views since publication
PDF Downloads
0
Total downloads since publication
Geographic Reach
5
Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.
Plagiarism Screening
This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.
Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
Related research in the same subject area
Loading similar articles...