UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 12 | Issue 10 | October 2025

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Published in:

Volume 11 Issue 10
October-2024
eISSN: 2349-5162

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

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Published Paper ID:
JETIRGN06031


Registration ID:
549117

Page Number

269-277

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Title

PESTICIDES AND FERTILSERSRECOMMENDATION FOR PRECISION AGRICULTURE

Abstract

Precision farming is a method of farming that improves the use of water, nutrients, and insect control by applying machine learning and multilinear regression. This technology provides useful insights by utilizing data from several sources, including weather stations, soil sensors, and satellite photography. With 99.3% accuracy, an Internet with Things-driven fertilizer recommendation system suggests the best manure usage based on real-time sensor data. This increases crop yields while lowering food turbulence and improving food security. The complex algorithms of the system lead to increased agricultural efficiency and effectiveness. Precision farming has come quite a long way, but there are still many obstacles to overcome, especially in nations that are developing. High-tech solutions can be costly and need complex infrastructure, which may not be easily accessible or reasonably priced in these areas. That's why smallholder farmers need a comprehensive approach that blends high-tech and low-tech devices with precision farming to make it easier and more approachable. Low-tech tools could be traditional knowledge and practices modified for the local climate, while medium-tech options could include inexpensive soil testing kits and mobile-based advising services. Developing nations can enhance manufacture and sustainability by gradually implementing superior precision agriculture technologies through the combination of various technologies.

Key Words

Machine learning, Multilinear regression, Agriculture, Optimising water, fertilizer, Pest control, IoT-based, Fertiliser recommendation, Sensors, Soil conditions, Weather, Sequential Forward Floating Selection, accuracy, Yield, Food instability, Developing countries, High techDemands,Agricultural automation, pesticide scheduling.

Cite This Article

"PESTICIDES AND FERTILSERSRECOMMENDATION FOR PRECISION AGRICULTURE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 10, page no.269-277, October-2024, Available :http://www.jetir.org/papers/JETIRGN06031.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

"PESTICIDES AND FERTILSERSRECOMMENDATION FOR PRECISION AGRICULTURE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 10, page no. pp269-277, October-2024, Available at : http://www.jetir.org/papers/JETIRGN06031.pdf

Publication Details

Published Paper ID: JETIRGN06031
Registration ID: 549117
Published In: Volume 11 | Issue 10 | Year October-2024
DOI (Digital Object Identifier):
Page No: 269-277
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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