Design an efficient disease monitoring system for paddy leaves based on big data mining

Autor: Suresh K, Karthik S, Hanumanthappa M

Publikováno v: Inteligencia Artificial, Vol 23, Iss 65 (2020)

With the progressions in Information and Communication Technology (ICT), the innumerable electronic devices (like smart sensors) and several software applications can proffer notable contributions to the challenges that are existent in monitoring pla

Externí odkaz: https://doaj.org/article/f410e9fb3ecb4da6b2d552e259a82472

Multi-agent based context aware information gathering for agriculture using Wireless Multimedia Sensor Networks

Autor: Bhanu, K.N., Reddy, T. Bhaskara, Hanumanthappa, M.

Publikováno v: In Egyptian Informatics Journal March 2019 20(1):33-44

Effect of granulated lime and bio-inoculants on the productivity of French bean (Phaseolus vulgaris L.) under hilly zone of Karnataka

Autor: Hanumanthappa M, Narayana S Mavarkar, Ravi Cs, Vignesh, Sarvajna B. Salimath

Publikováno v: International Journal of Chemical Studies. 8:834-836

A field experiment was conducted at College of Horticulture, Mudigere, Chikamagalur district, Karnataka to investigate the effect of granulated lime and bio-inoculants on the productivity of French beans (Phaseolus vulgaris L.) under the hilly zone o

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::600804d2edcaeb6a7b03c80193035e4f
https://doi.org/10.22271/chemi.2020.v8.i6l.10874

An Improved Attention Layer assisted Recurrent Convolutional Neural Network Model for Abstractive Text Summarization

Autor: Nagalavi, Deepa, Hanumanthappa, M, K, Ravikumar

Publikováno v: INFOCOMP Journal of Computer Science; Vol. 18 No. 2 (2019): December 2019; 36-47
INFOCOMP: Jornal de Ciência da Computação
Universidade Federal de Lavras (UFLA)
instacron:UFLA

In the last few years text summarization has gained widespread attention across industries, especially in media and publications, research, business intelligence etc where it helps exploiting large documents to generate a new one with summarized infe

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3056::ce9156bfbb31055086d2842dda630d48
https://infocomp.dcc.ufla.br/index.php/infocomp/article/view/628

Knowledge based Techniques for Pragmatic Feature Engineering and Opinion Mining on Divergent Data sets.

Autor: Syrien, Annie, Hanumanthappa, M., Kumar, Ravi

Publikováno v: Special Education; 2022, Vol. 1 Issue 43, p4567-4579, 13p