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Croplink360: A Centralized Smart Nursery Management Platform Using AI and Cloud Computing

M. Jadhav

2026 · DOI: 10.22214/ijraset.2026.82622
International Journal for Research in Applied Science and Engineering Technology · 0 Citations

TLDR

This paper introduces Croplink360, an AI-powered smart nursery management system that combines cloud computing, predictive analytics, and role-based digital operations into one platform that shows major improvements in transparency, operational efficiency, stock optimization, and workload reduction compared to traditional and semi-digital nursery systems.

Abstract

Nursery and agricultural management systems often rely on manual methods or partially digital solutions. This leads to

limited traceability, poor inventory control, inaccurate demand forecasting, and less operational transparency. Recent studies

have looked into individual tech solutions like AI for plant disease detection, sensors for environmental automation, IoT for

irrigation, and online nursery commerce platforms. However, these approaches mainly focus on separate features and lack a

unified, smart management system. To address this issue, this paper introduces Croplink360, an AI-powered smart nursery

management system that combines cloud computing, predictive analytics, and role-based digital operations into one platform.

The system offers real-time plant inventory tracking, multi-branch management, online booking with advance payment options,

AI-driven plant suggestions, demand forecasting, and QR-based plant traceability within a scalable mobile and cloud

architecture. Croplink360 is built with Flutter for cross-platform deploy-ment and uses Firebase and Node.js for secure

authentication, real-time data syncing, and distributed storage. A role-based access control system allows for structured

interactions among administrators, workers, and customers, ensuring smooth operations across branches. An integrated AI

module looks at past sales trends, seasonal demand, and inventory data to provide smart stocking recommendations and

predictive alerts. Experimental results show major improvements in transparency, operational efficiency, stock optimization, and

workload reduction compared to traditional and semi-digital nursery systems. The proposed system offers a scalable and

adaptable framework for modernizing nursery management with artificial intelligence and cloud-based automation.