Wireless Sensor Network Based Farm Stations

Abstract

Precision agriculture is a technology which learns the variations, record the variations, manage and preserve the resources accordingly. Increasing population is demanding more food supply and lands. Precision agriculture is the best solution to fulfill the need of more food supply. Wireless sensor network plays key role in precision agriculture. This paper presents the architecture which is able to communicate with each other and delivers the real data collection. The proposed architecture will help the farmers about the current scenario of farming field with which farmer can take necessary action.

Authors and Affiliations

KanchaRenake, Prof. Dr. Virendra Shete, Prof. Sunil Somani

Keywords

Related Articles

EEG-Based Multi-Class Emotion Recognition using Hybrid LSTM Approach

Emotion recognition is a crucial task in human-computer interaction, psychology, and neuroscience. Electroencephalogram (EEG)-based multi-class emotion recognition is a novel approach that aims to identify and classify h...

Integrating Monistic Theory, Neuro-Linguistic Programming, and AI for Developing Emotionally Healthy School Children- A Global and Indian Perspective

Emotional health plays a crucial role in the holistic development of school children, impacting their academic performance, social interactions, and overall well-being. This research article explores the potential of int...

Time and Motion Study of Cutting Tool Production: Process Charts and Layouts (I)

A manufacturing company should use its resources (i.e., manpower, machinery, and so on) in an efficient manner to improve productivity and minimize cost. The purpose of the present study was to recommend improvement meth...

Experimental and Analytical Investigation of Short Columns with GFRP Bars

Glass fiber reinforced polymer (GFRP) Rebar ‘s has an innovative material it’s been a potential application in construction practices due to its high tensile strength, corrosive resistance ease in its applications and re...

A New Residual Convolutional Neural Network-Based Speech Improvement

Among the most crucial methods for denoising a noisy voice signal and enhancing its quality is speech enhancement. This study makes use of Adaptive Residual Neural Network technique to reduces maximum off background nois...

Download PDF file
  • EP ID EP749400
  • DOI -
  • Views 45
  • Downloads 0

How To Cite

KanchaRenake, Prof. Dr. Virendra Shete, Prof. Sunil Somani (2014). Wireless Sensor Network Based Farm Stations. International Journal of Innovative Research in Computer Science and Technology, 2(3), -. https://europub.co.uk/articles/-A-749400