Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Naveen N. Malvade"'
Autor:
Naveen N. Malvade, Rajesh Yakkundimath, Girish Saunshi, Mahantesh C. Elemmi, Parashuram Baraki
Publikováno v:
Artificial Intelligence in Agriculture, Vol 6, Iss , Pp 167-175 (2022)
The agriculture sector is no exception to the widespread usage of deep learning tools and techniques. In this paper, an automated detection method on the basis of pre-trained Convolutional Neural Network (CNN) models is proposed to identify and class
Externí odkaz:
https://doaj.org/article/2f32afc45f86476e91d6bca4f6ea2f8a
Publikováno v:
Information Processing in Agriculture, Vol 7, Iss 2, Pp 272-285 (2020)
On-time recognition and early control of the stresses in the paddy crops at the booting growth stage is the key to prevent qualitative and quantitative loss of agricultural yield. The conventional paddy crop stress identification and classification a
Externí odkaz:
https://doaj.org/article/30768db71a1d4f3eabd0294efd95a7a8
Publikováno v:
Artificial Intelligence in Agriculture, Vol 4, Iss , Pp 12-20 (2020)
On-time recognition and early control of the stresses in the paddy crops at the booting growth stage is the key to prevent qualitative and quantitative loss of agricultural yield. The conventional paddy crop stress recognition and classification acti
Externí odkaz:
https://doaj.org/article/8044b255ef1946cb9ed034befc84298e
Publikováno v:
Information Processing in Agriculture, Vol 6, Iss 1, Pp 47-60 (2019)
Fraudulent labeling and adulteration are the major concerns in the global rice industry. Almost all the paddy varieties being sold in the market are prone to adulteration. It is very difficult to differentiate paddy grains of various varieties in the
Externí odkaz:
https://doaj.org/article/8873a33e82ca4a9fb975b60d4228dabf
Publikováno v:
International Journal of Intelligent Systems. 37:2293-2318
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f07cd48203dd6f8c1f41fe9ea01fc101
https://doi.org/10.1002/int.22774
https://doi.org/10.1002/int.22774
Publikováno v:
Information Processing in Agriculture, Vol 7, Iss 2, Pp 272-285 (2020)
On-time recognition and early control of the stresses in the paddy crops at the booting growth stage is the key to prevent qualitative and quantitative loss of agricultural yield. The conventional paddy crop stress identification and classification a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dba5359c52fdcd69de6ff326aa417949
https://doi.org/10.1016/j.inpa.2019.08.005
https://doi.org/10.1016/j.inpa.2019.08.005
Publikováno v:
Artificial Intelligence in Agriculture, Vol 4, Iss, Pp 12-20 (2020)
On-time recognition and early control of the stresses in the paddy crops at the booting growth stage is the key to prevent qualitative and quantitative loss of agricultural yield. The conventional paddy crop stress recognition and classification acti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e29d22e97d38ac228c28acac1048ed4b
http://www.sciencedirect.com/science/article/pii/S2589721720300106
http://www.sciencedirect.com/science/article/pii/S2589721720300106
Publikováno v:
Communications in Computer and Information Science ISBN: 9783031224041
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a10e159e16a30dce8feeecbb2907ba97
https://doi.org/10.1007/978-3-031-22405-8_7
https://doi.org/10.1007/978-3-031-22405-8_7
Publikováno v:
Information Processing in Agriculture, Vol 6, Iss 1, Pp 47-60 (2019)
Fraudulent labeling and adulteration are the major concerns in the global rice industry. Almost all the paddy varieties being sold in the market are prone to adulteration. It is very difficult to differentiate paddy grains of various varieties in the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a545eeeef8ebf02d8d645322cfb3b313
https://doi.org/10.1016/j.inpa.2018.09.001
https://doi.org/10.1016/j.inpa.2018.09.001
Publikováno v:
International Journal of Computational Vision and Robotics. 1:1
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2ad31c8994a983e699826b7f38bf1021
https://doi.org/10.1504/ijcvr.2022.10047193
https://doi.org/10.1504/ijcvr.2022.10047193