Smart Profit-Aware Crop Advisory System: Kisan AI

TL;DR

Kisan AI is a comprehensive, profit-aware crop advisory system that integrates market prices, disease detection, and price forecasting into a multilingual mobile platform for Indian farmers.

Contribution

This paper introduces a novel full-stack crop advisory system that incorporates market price data and AI modules, improving financial decision-making for farmers.

Findings

Random Forest model achieved 99.3% accuracy with market price feature.

The integrated platform combines disease detection, price forecasting, and multilingual chatbot.

Inclusion of market price significantly enhances advisory system performance.

Abstract

Modern crop advisory systems exhibit a critical limitation termed \textit{economic blindness}. These systems primarily optimize for biological yield, often overlooking market price, which can lead farmers toward agronomically sound yet financially unviable decisions. In this paper, we develop Kisan AI, a smart profit-aware crop advisory system that resolves the above-mentioned limitation through a research-driven, full-stack application. We train the Random Forest(RF) classifier model on a nine-feature benchmark dataset, the standard seven agronomic attributes augmented with a \textit{market\_price} variable, and evaluated against eight baseline models, considering the evaluation matrices, such as, accuracy, precision, recall, F1-score, and Log Loss. The RF model achieves the highest accuracy of 99.3\% and the lowest Log Loss, confirming that the inclusion of market price as a predictive feature is both valid and impactful. We then implement the RF model within a multilingual progressive Web App alongside a Facebook Prophet six-month price forecasting engine and a MobileNetV2 disease detection module. A nine-language AI chatbot powered by the Anthropic Claude API unifies all modules into a single, mobile-installable platform accessible to farmers across India.