Agrismart - Smart Crop Advisory System for Small and Marginal Farmers

Aditya Bajirav Jadhav; Rohan Ashok Haladkar; Aniruddha Arvind Mhavale; Sahil Suresh Patil; Rajkiran Krishant Patil; Samindar J Vibhute

Agrismart - Smart Crop Advisory System for Small and Marginal Farmers

Author(s)	Mr. Aditya Bajirav Jadhav, Mr. Rohan Ashok Haladkar, Mr. Aniruddha Arvind Mhavale, Mr. Sahil Suresh Patil, Mr. Rajkiran Krishant Patil, Prof. Samindar J Vibhute
Country	India
Abstract	AgriSmart is a technology-driven solution designed to empower small farmers by providing them with personalized and data-driven crop advisory services. Small and marginal farmers often struggle with low productivity due to limited access to timely agricultural knowledge, unpredictable weather, poor soil health, and inadequate resource management. To address these challenges, a Smart Crop advisory System is proposed that integrates Internet of Things (IOT) sensors, machine learning (ML) algorithm, and cloud-based decision to generate localized, real-time recommendations. And analyze crop image for early disease detection. While predictive models provide insights on crop selection, yield estimation, and resource optimization. External APIs deliver real-time weather, soil and Market data. Which are processed in the backend using Python frameworks such as Flask or Fast APIs, with MYSQL serving as the database. Offering advisory ser-vices in local language and through voice-based interaction to ensure inclusivity. Agri-culture remains the primary livelihood for a majority of small and marginal Farmers, yet they often face Challenges due to limited access to expert guidance, unpredictable climatic conditions, inefficient crop selections, and lack of timely information. AgriSmart is a smart crop advisory system designed to support farmers by providing data-driven recommendations for crop selection and farm management. The system integrates soil parameters, weather data, and historical crop performances to generate personalized suggestions using machine learning techniques. Built using Html, CSS, Python, Flask, and MYSQL, AgriSmart delivers a user-friendly interface that allows farmers to input soil characteristics and receive immediate crop recommendations tailored to their region and resources. By bridging the information gap and promoting information decision-making. AgriSmart aims to improve productivity, reduce risk, and support agricultural practices for small and marginal Farmers.
Field	Engineering
Published In	Volume 8, Issue 3, May-June 2026
Published On	2026-06-11

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Agrismart - Smart Crop Advisory System for Small and Marginal Farmers

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