Loading article...
Loading article...
Stream/Area:
-
Subject:
-
Paper ID:
IJSREM63522
Volume:
10 |
5 |
May 2026
Pages:
1-3
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

Department of Computer Science & Engineering (AI&ML)
Rajeev Institute of Technology

Department of Computer Science & Engineering (AI&ML)
Rajeev Institute of Technology

Department of Computer Science & Engineering (AI&ML)
Rajeev Institute of Technology

Department of Computer Science & Engineering (AI&ML)
Rajeev Institute of Technology

Department of Computer Science & Engineering (AI&ML)
Rajeev Institute of Technology
Agro-tech is an integrated mobile solution developed using Android Studio and Firebase Console that seeks to offer a safe and efficient computing environment for farm monitoring and predictive analytics. The system is meant for use by farmers, researchers, and agribusiness firms interested in adopting modern technology in agriculture through the use of a user-friendly interface and technical prowess to revolutionize traditional and labor-intensive agricultural processes. With the help of Firebase Cloud Functions in machine learning processes and Real-time Database in proper data management, the platform ensures high levels of accuracy and efficiency in disease detection and harvest prediction. In addition to that, the Agro-tech system makes modern agriculture more effective by providing real-time monitoring, disease detection, and yield predictions for crops based on artificial intelligence. The use of cloud services and Firebase helps the system provide relevant information and make decisions effectively and securely.
KEYWORDS
The proposed Agro-tech solution makes it possible for interested parties to monitor farming activities from afar, making sure that site visits become unnecessary in the process. Reliability, speed, and flexibility in monitoring crops is provided. The solution significantly reduces manual work and paperwork by providing quick solutions to problems such as weed and disease management. This is a total solution that ensures accuracy and efficiency in farming practices. Further, Agro-tech is a platform that ensures sustainable and data-driven farming through the use of technologies like machine learning and cloud computing. This technology assists farmers in making sound decisions on matters relating to crop health, irrigation, and productivity, thus increasing efficiency in agriculture and minimizing expenses incurred during farming activities. It features a user-friendly interface and an automated process.
[1]. Professor Raut S. Y. et al., "Safe Digital Management Systems Based on Centralized Database," Vol. 3, Issue 5, May 2017. [2]. K. Ramesh et al., "From Conventional Approaches to Safe Digital Ones," Vol. 2, Issue 3, 2023. [3]. Anand A. and Divya P., "A Comprehensive Online Management System for Efficient Resource Distribution," International Journal of Modern Engineering Research, Vol. 2(4), 2631–2634, 2019. [4]. M. A. Imran and H. Rahman, "Recognition Systems and their Use in Data Management," International Journal of Computer Applications, Vol. 118, No. 5, May 2015. [5]. Alexander. J, "Stakeholders Centralized Digital Architectures," IEEE: Control Engineering and Computing, 14(1):22-26, April 2003. [6]. K. P. Kaliyamurthie, R. Udayakumar, D. Parameswari, and S. N. Mugunthan, "Highly Secured Data Systems over Networks," Indian Journal of Science and Technology | Print ISSN: 0974-6846 | Online ISSN: 0974-5645, Vol. 9, 2018. [7]. Swaminathan, B., and Dinesh, "Advanced Scientific Research and Technology: Multi-security using Biometrics," Vol. 2(2), 195–203, 2018. [8]. R. Sharma, S. Gupta, and P. Verma, "Mobile-Based Weed Identification and Management: A Real-Time Approach," International Journal of Agricultural Science and Technology, Vol. 5, Issue 2, June 2024. [9]. J Smith and L Brown, "Real-time Livestock Health Monitoring using Cloud Integration and Firebase Systems," Journal of Veterinary Technology and Informatics, Vol. 8, Issue 1, March 2023.
Publication Date
5/19/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
Documents
Article Views
0
Total views since publication
PDF Downloads
2
Total downloads since publication
Geographic Reach
5
Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.
Plagiarism Screening
This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.
Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
Related research in the same subject area
Loading similar articles...