Zobrazeno 1 - 10
of 120
pro vyhledávání: '"Karbhari V Kale"'
Publikováno v:
ICTACT Journal on Image and Video Processing, Vol 11, Iss 3, Pp 2373-2377 (2021)
The systematic analysis of crop condition monitoring using high spatial resolution satellite images is significant for decision-making and agricultural food production management. In the present paper, the web-GIS system has been designed and develop
Externí odkaz:
https://doaj.org/article/e0f3b06b0a9444a98745a2ebf3b3c803
Publikováno v:
Ecological Processes, Vol 7, Iss 1, Pp 1-12 (2018)
Abstract Introduction An accurate and reliable detection of soil physicochemical attributes (SPAs) is a difficult and complicated issue in soil science. The SPA may be varied spatially and temporally with the complexity of nature. In the past, SPA de
Externí odkaz:
https://doaj.org/article/dba3cd9d619e4e28841dc0d09a4d9f51
Autor:
Amol D. Vibhute, Dhananjay B. Nalawade, Ajay D. Nagne, Amarsinh B. Varpe, Karbhari V. Kale, Suresh C. Mehrotra, Rajesh K. Dhumal, Sandeep V. Gaikwad
Publikováno v:
Multimedia Tools and Applications. 79:34737-34769
The present study reports classification and analysis of composite land features using fusion images obtained by fusing two original hyperspectral and multispectral datasets. The high spatial-spectral resolution, multi-instrument and multi-period sat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a8d743d0c9c37cb7dd500d7c8086da2b
https://doi.org/10.1007/s11042-020-08978-4
https://doi.org/10.1007/s11042-020-08978-4
Publikováno v:
Communications in Computer and Information Science ISBN: 9783031070044
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1628c284efb9c2b3b78329b3d6bdb3c0
https://doi.org/10.1007/978-3-031-07005-1_32
https://doi.org/10.1007/978-3-031-07005-1_32
Publikováno v:
2021 IEEE Bombay Section Signature Conference (IBSSC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cb0067e8eb6935844c0ca8eb8cdccbb5
https://doi.org/10.1109/ibssc53889.2021.9673181
https://doi.org/10.1109/ibssc53889.2021.9673181
Publikováno v:
2021 IEEE India Council International Subsections Conference (INDISCON).
An assessment of the Jowar (Sorghum) crop health plays an important role in smart agriculture farming. As precision farming is essential for good quality of production and proper management of farming. By using hyperspectral remote sensing data, it a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fc6b32ca2ca5d92e4b230bc442cd0ea2
https://doi.org/10.1109/indiscon53343.2021.9582154
https://doi.org/10.1109/indiscon53343.2021.9582154
Publikováno v:
2021 IEEE India Council International Subsections Conference (INDISCON).
Hyperspectral image unmixing is a very essential but challenging task for solving the mixed pixel issues. Spectral unmixing is directly involved in image sub-pixel classification, answering the spectral mixing problem. The present study emphasizes th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8cdd908e84f299b8bd026c245fb4f25c
https://doi.org/10.1109/indiscon53343.2021.9582217
https://doi.org/10.1109/indiscon53343.2021.9582217
Publikováno v:
International Journal of Computer Sciences and Engineering. 7:901-905
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e636f9c0a73cd45ee62056bd9e4b5c9f
https://doi.org/10.26438/ijcse/v7i5.901905
https://doi.org/10.26438/ijcse/v7i5.901905
Publikováno v:
Data Intelligence and Cognitive Informatics ISBN: 9789811585296
For agricultural land monitoring, information is collected by various governing agencies regarding different types of crops cultivated and their growth cycles. Traditionally, this work is done through manual field surveys, which require a lot of huma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d988e05c09562948acf2ee1a0b65a95b
https://doi.org/10.1007/978-981-15-8530-2_37
https://doi.org/10.1007/978-981-15-8530-2_37
Publikováno v:
SN Applied Sciences. 2
In the present paper, the novel hyperspectral model was developed for the estimation of Soil Nitrogen (SN) in agricultural lands using Partial Least Squares Regression (PLSR) method. In this regard, an effort has been made on predicting and analyzing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4ed8597c4dfb5021b5dbd8f1301fc29a
https://doi.org/10.1007/s42452-020-03322-9
https://doi.org/10.1007/s42452-020-03322-9