IJFANS International Journal of Food and Nutritional Sciences

ISSN PRINT 2319 1775 Online 2320-7876

ANALYZING TWEETS USING A MACHINE LEARNING APPROACH

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Bathula Srikanth,Sanga Ravikiran,Thambala Ramesh,Badisa Vineesha

Abstract

The experiment was carried out at Agriculture Research Farm of Rama University, Mandhana, Kanpur, U.P, India, during October 2021-2022 to investigate the effect of integrated nutrient management on plant growth, & yield parameter of strawberry (Fragaria x ananassa Duch.) var. Chandlar” eight treatments viz., T1(Control), T2(100% RDF N: P: K @ 6:10:6 g/plant), T3(100% RDF + Azotobacter @ 2g/plant), T4(100% RDF + Azospirillum @ 2g/plant), T5(50% RDF + Azotobacter @ 2g/plant + topdressing of 50% each of P and K), T6(50% RDF + Azospirillum @ 2g/plant + topdressing of 50% each of P and K), T7(50% RDF + Azotobacter @ 2g/plant + PSB @2g/plant + topdressing of 50% K) and T8(50% RDF + Azospirillum @ 2g/plant + PSB @2g/plant + topdressing of 50% K) along with their combinations, replicated thrice in a Randomized Block Design. In strawberry use the application of fertilizer with bio-fertilizer like Azotobacter and Azospirillum hasten early flowering along with the expanded duration of blossoming,

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