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Akademický článek

Performance evaluation of different empirical models for reference evapotranspiration estimation over Udhagamandalm, The Nilgiris, India

Autor: P. Raja, Fathima Sona, U. Surendran, C. V. Srinivas, K. Kannan, M. Madhu, P. Mahesh, S. K. Annepu, M. Ahmed, K. Chandrasekar, A. R. Suguna, V. Kumar, M. Jagadesh

Publikováno v: Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)

Abstract Evapotranspiration (ETo) is an important component of the hydrological cycle and reliable estimates of ETo are essential for assessing crop water requirements and irrigation management. Direct measurement of evapotranspiration is both costly

Externí odkaz: https://doaj.org/article/020332a51c784ed0a9891b241d7e15ec

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Akademický článek

Automatic recognition of tomato leaf disease using fast enhanced learning with image processing

Autor: Thanjai Vadivel, R. Suguna

Publikováno v: Acta Agriculturae Scandinavica. Section B, Soil and Plant Science, Vol 72, Iss 1, Pp 312-324 (2022)

The changes in weather have beneficial and harmful effects on crop yields. There will be a loss of yield because of the diseases in crops. With the growing population, the fundamental want of food is growing. That is why agriculture gains a prominent

Externí odkaz: https://doaj.org/article/837a0f3aaa0b44e6b6d90a47f81fd7fa

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Akademický článek

Sarcasm Detection with and without #Sarcasm: Data Science Approach

Autor: Rupali Amit Bagate, R Suguna

Publikováno v: International Journal of Information Science and Management, Vol 20, Iss 4, Pp 1-15 (2022)

Natural languages usually contain context, which is difficult for a machine to understand. Sentiment analysis is a contextual mining technique often used in NLP to identify, understand and extract subjective information in texts, such as people’s c

Externí odkaz: https://doaj.org/article/fd863599e0b84d3d88abaed3b4be4d96

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Akademický článek

Performance evaluation of SVM-based hand gesture detection and recognition system using distance transform on different data sets for autonomous vehicle moving applications

Autor: P.S., Neethu, R., Suguna, S., Palanivel Rajan

Publikováno v: Circuit World, 2021, Vol. 48, Issue 2, pp. 204-214.

Externí odkaz: http://www.emeraldinsight.com/doi/10.1108/CW-06-2020-0106

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Akademický článek

IMPLEMENTATION OF DYNAMIC AND FAST MINING ALGORITHMS ON INCREMENTAL DATASETS TO DISCOVER QUALITATIVE RULES

Autor: Pannangi NARESH, R. SUGUNA

Publikováno v: Applied Computer Science, Vol 17, Iss 3, Pp 82-91 (2021)

Association Rule Mining is an important field in knowledge mining that allows the rules of association needed for decision making. Frequent mining of objects presents a difficulty to huge datasets. As the dataset gets bigger and more time and burden

Externí odkaz: https://doaj.org/article/18668a819a51492e996122fe66a29ff9

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