Agri Eazee – Smart Crop Companion Web-Based Interactive System | IJCT Volume 12 – Issue 6 | IJCT-V12I6P30
International Journal of Computer Techniques
ISSN 2394-2231
Author
Dr. K. Sundara Velrani , Hariram S , KeerthiKumar N G , Mayank Dhandh
Abstract
Agriculture constitutes the source of livelihood for crores of farmers, and it is necessary to take well-informed decisions regarding crop management for augmenting yield, conserving resources, and achieving sustainability. Farmers of- ten struggle to get accurate, timely, and localized information related to crops, fertilizers, and pest management. The project AgriEazee – Smart Crop Companion is designed as a web-based application that provides an intelligent, bilingual (Tamil/English) decision support system to help farmers manage crop-related data, fertilizer requirements, and disease control efficiently. The system integrates crop information, fertilizer calculators, and disease remedies into one responsive platform using the MERN stack. Through automation, bilingual guidance, and a modular interface, AgriEazee simplifies complex agricultural decisions for farmers and students, enhancing productivity and sustainability.
Keywords
Agriculture, Web Application, MERN Stack, Fertilizer Calculator, Bilingual System, Decision Support System.
Conclusion
This paper presents AgriEazee – Smart Crop Companion, a web-based interactive system designed to assist farmers, agricultural students, and extension officers in making data- driven crop management decisions. By integrating crop infor- mation, fertilizer calculation, and disease management into a single, bilingual platform, the system addresses critical gaps in access to agronomic knowledge, particularly in regions with limited extension services.
The evaluation of AgriEazee demonstrates its effectiveness in providing accurate recommendations, enhancing usability, and supporting sustainable agricultural practices. Fertilizer dosage calculations were validated against standard agronomic methods, and disease management advice adhered to both organic and chemical best practices. Users reported high satisfaction, highlighting the clarity of the interface, bilin- gual accessibility, and the practical value of downloadable reports for field use. These findings indicate that the system successfully bridges the knowledge-to-practice gap, enabling proactive and informed decision-making at the farm level.
The modular architecture of AgriEazee, built on the MERN stack, ensures scalability, maintainability, and ease of future expansion. Potential enhancements include integration of IoT- based soil and weather sensors, predictive analytics for crop yield and disease outbreaks, and additional language support to cater to diverse user populations. Offline caching mechanisms further strengthen the system’s resilience in areas with inter- mittent internet connectivity, ensuring continuous usability.
Moreover, the system fosters environmentally sustainable practices by encouraging precise fertilizer application and promoting organic treatments where appropriate. By minimiz- ing resource wastage and reducing dependency on chemical inputs, AgriEazee contributes to both economic and ecological sustainability. Its dual utility as an educational and practical tool also supports the training of students and extension offi- cers, enhancing the broader agricultural knowledge ecosystem. In addition, the system enhances community engagement by providing a shared platform for farmers and extension officers to access verified agricultural knowledge. This collaborative approach encourages knowledge exchange, reduces misinfor- mation, and supports evidence-based decision-making. The ability to track crop performance and disease trends over time further empowers users to make strategic choices, plan
rotations, and optimize yields across seasons.
The platform also addresses the challenge of digital literacy by employing a simple, intuitive user interface and bilingual content. Even users with minimal exposure to technology can navigate the system efficiently, increasing adoption rates and ensuring that technological benefits reach marginalized or less technologically adept farmers. This inclusivity is critical for achieving equitable access to modern agricultural tools and fostering rural empowerment.
Finally, AgriEazee lays the groundwork for future integra- tion with emerging technologies such as artificial intelligence, machine learning, and cloud-based predictive modeling. By leveraging historical and real-time data, the system can evolve into a comprehensive precision agriculture tool capable of recommending optimal sowing times, detecting potential pest outbreaks, and suggesting sustainable irrigation schedules. This forward-looking design ensures that AgriEazee remains relevant and adaptable to the evolving needs of modern agri- culture.
In summary, AgriEazee effectively combines usability, ac- curacy, sustainability, and scalability into a single platform. It empowers stakeholders with actionable insights, supports informed decision-making, and provides a foundation for the next generation of intelligent, data-driven agricultural systems. The system exemplifies how digital tools can transform tradi- tional farming practices and enhance livelihoods while promot- ing environmental stewardship and technological inclusion.
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How to Cite This Paper
Dr. K. Sundara Velrani , Hariram S , KeerthiKumar N G , Mayank Dhandh (2025). AgriEazee – Smart Crop Companion Web-Based Interactive System. International Journal of Computer Techniques, 12(6). ISSN: 2394-2231.
