Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Sellaperumal, Pazhanivelan"'
Autor:
Ratchagar Arockia Infant Paul, Murali Arthanari Palanisamy, Panneerselvam Peramaiyan, Virender Kumar, Muthukumar Bagavathiannan, Bholuram Gurjar, Shanmugam Vijayakumar, Maduraimuthu Djanaguiraman, Sellaperumal Pazhanivelan, Kavitha Ramasamy
Publikováno v:
Frontiers in Agronomy, Vol 6 (2024)
Unmanned aerial vehicles (UAVs) represent a cutting-edge technology that holds the promise of revolutionizing the conventional tasks carried out in the realm of agriculture. On a global scale, UAVs are gaining prominence for pesticide applications, p
Externí odkaz:
https://doaj.org/article/5cb3e4bb99ee4784ad204c0e4290b13b
Autor:
NARAYANASWAMY JEEVAN, SELLAPERUMAL PAZHANIVELAN, RAMALINGAM KUMARAPERUMAL, A P SIVAMURUGAN, MRUNALINI KANCHETI
Publikováno v:
The Indian Journal of Agricultural Sciences, Vol 94, Iss 11 (2024)
The experiment was conducted during summer and rainy (kharif) seasons of 2021 and 2022 at Agricultural Research Station (Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu), Bhavanisagar, Tamil Nadu to evaluate the efficiency, economics and e
Externí odkaz:
https://doaj.org/article/e5a7b07d4604415aa1c43ee80ac1989b
Autor:
Ravikumar, Swathy, Vellingiri, Geethalakshmi, Sellaperumal, Pazhanivelan, Pandian, Kannan, Sivasankar, Annamalai, Sangchul, Hwang
Publikováno v:
In Journal of Hazardous Materials Advances November 2024 16
Autor:
Chinnu Raju, Sellaperumal Pazhanivelan, Irene Vethamoni Perianadar, Ragunath Kaliaperumal, N. K. Sathyamoorthy, Vaithiyanathan Sendhilvel
Publikováno v:
Agriculture, Vol 14, Iss 11, p 2018 (2024)
Climate change is an emerging threat to global food and nutritional security. The tropical fruits such as mango, bananas, passionfruit, custard apples, and papaya are highly sensitive to weather changes especially; changes of monsoon onset and elevat
Externí odkaz:
https://doaj.org/article/de68e607e7c34f6aaa48ec0e130200f1
Autor:
Thamizh Vendan Tarun Kshatriya, Ramalingam Kumaraperumal, Sellaperumal Pazhanivelan, Nivas Raj Moorthi, Dhanaraju Muthumanickam, Kaliaperumal Ragunath, Jagadeeswaran Ramasamy
Publikováno v:
Agronomy, Vol 14, Iss 11, p 2707 (2024)
Large-scale mapping of soil resources can be crucial and indispensable for several of the managerial applications and policy implications. With machine learning models being the most utilized modeling technique for digital soil mapping (DSM), the imp
Externí odkaz:
https://doaj.org/article/55f54f0584bc4a96874d952051fada1f
Autor:
Sellaperumal Pazhanivelan, N. S. Sudarmanian, Vellingiri Geethalakshmi, Murugesan Deiveegan, Kaliaperumal Ragunath, A. P. Sivamurugan, P. Shanmugapriya
Publikováno v:
Agriculture, Vol 14, Iss 3, p 496 (2024)
Synthetic aperture radar (SAR) imagery, notably Sentinel-1A’s C-band, VV, and VH polarized SAR, has emerged as a crucial tool for mapping rice fields, especially in regions where cloud cover hinders optical imagery. Employing multi-temporal charact
Externí odkaz:
https://doaj.org/article/78ff0cdc142641d6ab4739c918da7ea8
Autor:
NARAYANASWAMY JEEVAN, SELLAPERUMAL PAZHANIVELAN, RAMALINGAM KUMARAPERUMAL, KALIAPERUMAL RAGUNATH, P MURALI ARTHANARI, N SRITHARAN, A KARTHIKKUMAR, S MANIKANDAN
Publikováno v:
The Indian Journal of Agricultural Sciences, Vol 93, Iss 7 (2023)
A field experiment was conducted at the Agricultural Research Station, Tamil Nadu Agricultural University, Bhavanisagar, during 2021–23 to study the effect of spray volume (SV) on deposition characteristics of a fuel-operated UAV sprayer (25 L/ha,
Externí odkaz:
https://doaj.org/article/230b7d1b2a7a493d94ce82c151c80beb
Autor:
Sellaperumal Pazhanivelan, Ramalingam Kumaraperumal, P. Shanmugapriya, N. S. Sudarmanian, A. P. Sivamurugan, S. Satheesh
Publikováno v:
Agriculture, Vol 13, Iss 9, p 1668 (2023)
New agronomic opportunities for more informed agricultural decisions and enhanced crop management have been made possible by drone-based near-ground remote sensing. Obtaining precise non-destructive information regarding crop biophysical characterist
Externí odkaz:
https://doaj.org/article/1247a73ea585427d9742f8850ea8c44e
Autor:
Subramanian Thirumeninathan, Sellaperumal Pazhanivelan, N. S. Sudarmanian, Kaliaperumal Ragunath, Ramalingam Kumaraperumal, Govindasamy Srinivasan, Ramalingam Mohan
Publikováno v:
Agronomy, Vol 13, Iss 3, p 889 (2023)
Crop yield data are critical for managing agricultural sustainability and assessing national food security. This study aims at increasing peanut productivity from its current levels by analyzing the yield gap (difference) of potential production betw
Externí odkaz:
https://doaj.org/article/eb88de4a723b4e269a7dcfdb0427d9ee
Autor:
Ramalingam Kumaraperumal, Sellaperumal Pazhanivelan, Vellingiri Geethalakshmi, Moorthi Nivas Raj, Dhanaraju Muthumanickam, Ragunath Kaliaperumal, Vishnu Shankar, Athira Manikandan Nair, Manoj Kumar Yadav, Thamizh Vendan Tarun Kshatriya
Publikováno v:
Land, Vol 11, Iss 12, p 2279 (2022)
The soil–environmental relationship identified and standardised over the years has expedited the growth of digital soil-mapping techniques; hence, various machine learning algorithms are involved in predicting soil attributes. Therefore, comparing
Externí odkaz:
https://doaj.org/article/0d5ac5ac394e4da2ab1282604a6cb371