Growing Trends in Indian Farming using Internet of Things (IoT)

Abstract

India is a land of different weather conditions and versatile soils. Every year Indian farmers are facing problem of sudden rain in their areas without any correct weather forecast which leads to damage of the already grown crops. The second major problem pertaining to Indian farmers is the lack of sufficient knowledge about their soil. The soil forecasting of how the soil structure is changing day by day due to different weather condition and other external factors, and which crop will be optimally suited to be grown in such soil are some of the problems common to the farmers. This paper makes an attempt to assess and propose model solution along with developing a prototype of device using IoT for use by farmers in Indian agriculture practice. The solution proposed will have a centralized data server to analyze the data and report to the farmer the precautionary steps to be taken in advance for safety of the crops. The solution proposed have eco-friendly energy management through solar plant and wind energy which makes IoT device more portable and low cost, along with making it implementable in Indian rural sectors..

A Comprehensive Survey on Sentiment Analysis in Twitter Data

“…SAisdefinedastheprocessthatautomatestheextractionofemotions,views,opinionsand attitudesfromdatabasesources,voice,tweets,andlanguageviaNLP.Itisanautomaticmethodfor classifyingtheviewsintextbasedonthecategoriessuchas"positive","negative"and"neutral. "This isoftenreferredtoastheanalysisofopinionmining,evaluation,extractionandsubjectivity (Mohana et al,2016;Terán&Mancera,2019;Öztürk&Ayvaz,2018).Thewordsopinion,sentiment,opinion andbeliefhavebeenusedinterchangeably;however,therearedifferencesamongthem. (Saifet al, 2016;Ghiassiet al,2013).SAinformsthecustomeriftheinformationabouttheproductisacceptable ornotuntiltheybuyit.Companiesandmarketersutilizetheresearchdataforidentifyingtheirgoods orservicesinsuchawaythattheycanbedeliveredaspertherequirementsofthecustomer.Using machinelearningtechniquesandoptimizationtechniques (Sreedharanet al,2018;VasamsettiSrinivas et al,2020)theperformanceofSAinTwitterdatawillhelpthecompaniestounderstandhowthe peoplestalkregardingtheirbrand (Symeonidiset al,2018;Pandeyet al,2017;Danielet al,2017).…”