
International Journal on Science and Technology
E-ISSN: 2229-7677
•
Impact Factor: 9.88
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
Plagiarism is checked by the leading plagiarism checker
Call for Paper
Volume 16 Issue 2
2025
Indexing Partners



















Smart Agriculture & System Advancements in Crop Field Intigrating Machine Learning and Agriculture Data
Author(s) | M. Balaram Reddy, M. Chandu, M. Sathya Narayana, M. Umamaheswar rao, M. Anand |
---|---|
Country | India |
Abstract | By using IoT (Internet of Things) along with artificial intelligence (AI) and data analytics tools, the "Smart Agriculture and System" project aims to transform conventional farming practices. Through the application of real-time data from an array of sensors installed throughout farm fields, the system will keep track of and optimize environmental variables like soil water content, temperature, humidity, and sunlight. The information gathered is processed and examined to offer actionable insights and automate aspects of farming such as irrigation, fertilization, pest control, and crop surveillance. |
Keywords | Internet of Things (IoT): A technology that allows for tracking, monitoring, and automation of farm operations Artificial intelligence (AI): A technology that enables machines to learn from data Big data: A large amount of data that can be analyzed to improve farm operations Cloud computing: A technology that allows for the storage and analysis of large amounts of data Sensors: Devices that monitor soil, water, light, humidity, and temperature |
Field | Engineering |
Published In | Volume 16, Issue 2, April-June 2025 |
Published On | 2025-04-17 |
Cite This | Smart Agriculture & System Advancements in Crop Field Intigrating Machine Learning and Agriculture Data - M. Balaram Reddy, M. Chandu, M. Sathya Narayana, M. Umamaheswar rao, M. Anand - IJSAT Volume 16, Issue 2, April-June 2025. DOI 10.71097/IJSAT.v16.i2.3623 |
DOI | https://doi.org/10.71097/IJSAT.v16.i2.3623 |
Short DOI | https://doi.org/g9f2g6 |
Share this


CrossRef DOI is assigned to each research paper published in our journal.
IJSAT DOI prefix is
10.71097/IJSAT
Downloads
All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.
