UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
Call for Paper
Volume 11 | Issue 2 | February 2024

JETIREXPLORE- Search Thousands of research papers



WhatsApp Contact
Click Here

Published in:

Volume 7 Issue 1
January-2020
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIR1908649


Registration ID:
226378

Page Number

1-4

Share This Article


Jetir RMS

Title

Soil Health Monitoring System using AI

Abstract

Soil is for the farmer what the pulse is for the doctor. It helps them take decisions about when to irrigate, when and what to sow, use nutrients and so on. Growers are used to taking soil samples and having them analyzed for available nutrients, pH, and total organic matter by a university or commercial lab. In arid regions it is common to also determine whether the soil is saline (too much salt) or sodic (too much sodium). This provides information on the soil’s chemical health and potential imbalances. To get the most benefit from soil tests, sample soils frequently (at least every two years) and keep good records. Evaluate whether your soil test values are remaining in the optimal range, without adding large amounts of fertilizers. For this purpose we proposed a soil health monitoring system using AI.

Key Words

Soil Health , AI, Detection, Classification

Cite This Article

"Soil Health Monitoring System using AI", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 1, page no.1-4, January 2020, Available :http://www.jetir.org/papers/JETIR1908649.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Soil Health Monitoring System using AI", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 1, page no. pp1-4, January 2020, Available at : http://www.jetir.org/papers/JETIR1908649.pdf

Publication Details

Published Paper ID: JETIR1908649
Registration ID: 226378
Published In: Volume 7 | Issue 1 | Year January-2020
DOI (Digital Object Identifier):
Page No: 1-4
Country: Amravati., Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


Preview This Article


Downlaod

Click here for Article Preview

Download PDF

Downloads

0003171

Print This Page

Current Call For Paper

Jetir RMS