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Decision Support System “Krishidhare” for Weather and Market Smart Agriculture

by Chandre Gowda M.J., Dolli S.S., Kedar K., Kalpana M.
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 187 - Number 85
Year of Publication: 2026
Authors: Chandre Gowda M.J., Dolli S.S., Kedar K., Kalpana M.
10.5120/ijca2026926390

Chandre Gowda M.J., Dolli S.S., Kedar K., Kalpana M. . Decision Support System “Krishidhare” for Weather and Market Smart Agriculture. International Journal of Computer Applications. 187, 85 ( Feb 2026), 19-30. DOI=10.5120/ijca2026926390

@article{ 10.5120/ijca2026926390,
author = { Chandre Gowda M.J., Dolli S.S., Kedar K., Kalpana M. },
title = { Decision Support System “Krishidhare” for Weather and Market Smart Agriculture },
journal = { International Journal of Computer Applications },
issue_date = { Feb 2026 },
volume = { 187 },
number = { 85 },
month = { Feb },
year = { 2026 },
issn = { 0975-8887 },
pages = { 19-30 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume187/number85/decision-support-system-krishidhare-for-weather-and-market-smart-agriculture/ },
doi = { 10.5120/ijca2026926390 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2026-02-26T16:48:45.353714+05:30
%A Chandre Gowda M.J.
%A Dolli S.S.
%A Kedar K.
%A Kalpana M.
%T Decision Support System “Krishidhare” for Weather and Market Smart Agriculture
%J International Journal of Computer Applications
%@ 0975-8887
%V 187
%N 85
%P 19-30
%D 2026
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The paper investigates the shortcomings of Decision Support System (DSS) in the agricultural sector and presents a weather and market based DSS to strengthen the farming decisions. A systematic review of 804 research articles published across 78 journals during 2012–2023 indicated that existing expert systems were mostly on crop, irrigation, nutrient, weed, disease, and pest management, with little focus on weather and market- smart decision support. The secondary data on weather parameters and market prices for the period 2010–2023 showed an interesting trend between rainfall and market price for major crops. The primary data collected across project locations growing selected crops revealed inadequate and untimely access to weather and market information. In order to help farmers facing these problems, an Artificial Intelligence enabled, mobile based decision support system “Krishidhare” was developed to deliver real-time advisories on crop management based on weather and prices forecasts. The Krishidhare deploys MySQL database, Python Flask Framework, AI/ML service layer in data warehouse, software and system architecture. System implements a multi-tier distributed architecture comprising five principal layers, viz., data layer, application layer, AI/ML service layer, administrative interface layer, and presentation layer. Field test results confirmed an accuracy of 92 % for rainfall forecast. The diagnosis by AI application in the expert system found 100 % accuracy for pests and 90 % for diseases identification. After field testing, 350 farmers were registered and installed the Krishidhare expert system on their mobile devices. Analysis of the utility pattern of the expert system revealed that 73 % of farmers used the application for accessing weather information and market prices.

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Index Terms

Computer Science
Information Sciences

Keywords

Artificial intelligence decision making market forecast climate smart sustainable farming

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