A Knowledge Information System for Smart Farming with Intelligent Data Analysis, Crop Monitoring, and E-Commerce Integration

Abstract—Smart farming app that connects farmers and buyers on a single platform for crop monitoring and product marketing. It uses secure e-commerce technology to enable fair and profitable transactions. The app offers a reliable information system available through mobile and web dashboards. It provides real-time updates on crop growth, harvest schedules, and daily farm activities. To reach its goals, the study used a quantitative and developmental research design. A modified iterative and incremental waterfall model was applied to meet user needs and business goals. The app was developed with specific tools like Android Studio, Gradle, Firebase, SQLite, and JavaScript, all working in a secure client-server setup. The results show that the app effectively monitors crop development and provides secure e-commerce solutions for farmers and buyers.

Authors

Publication Details

Journal
International Journal of Latest Technology in Engineering Management & Applied Science
Published
2025-09-19
DOI
https://doi.org/10.51583/ijltemas.2025.1408000169
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Knowledge Information System for Smart Farming with Intelligent Data Analysis, Crop Monitoring, and E-Commerce Integration

MSIT Jude Allan A. Urmeneta
International Journal of Latest Technology in Engineering Management & Applied Science
Smart Agriculture and AI
article

A Knowledge Information System for Smart Farming with Intelligent Data Analysis, Crop Monitoring, and E-Commerce Integration

MSIT Jude Allan A. Urmeneta
article en

Abstract

Abstract—Smart farming app that connects farmers and buyers on a single platform for crop monitoring and product marketing. It uses secure e-commerce technology to enable fair and profitable transactions. The app offers a reliable information system available through mobile and web dashboards. It provides real-time updates on crop growth, harvest schedules, and daily farm activities. To reach its goals, the study used a quantitative and developmental research design. A modified iterative and incremental waterfall model was applied to meet user needs and business goals. The app was developed with specific tools like Android Studio, Gradle, Firebase, SQLite, and JavaScript, all working in a secure client-server setup. The results show that the app effectively monitors crop development and provides secure e-commerce solutions for farmers and buyers.

International Journal of Latest Technology in Engineering Management & Applied ScienceVol. 14(8)
Openalex Percentile: Top 81%
Smart Agriculture and AI
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.