Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Karambir Singh Hooda"'
Autor:
Md. Ashraful Haque, Sudeep Marwaha, Chandan Kumar Deb, Sapna Nigam, Alka Arora, Karambir Singh Hooda, P. Lakshmi Soujanya, Sumit Kumar Aggarwal, Brejesh Lall, Mukesh Kumar, Shahnawazul Islam, Mohit Panwar, Prabhat Kumar, R. C. Agrawal
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-14 (2022)
Abstract In recent years, deep learning techniques have shown impressive performance in the field of identification of diseases of crops using digital images. In this work, a deep learning approach for identification of in-field diseased images of ma
Externí odkaz:
https://doaj.org/article/6e06f5391a9447b88d36ca458f56815b
Autor:
Md. Ashraful Haque, Sudeep Marwaha, Alka Arora, Chandan Kumar Deb, Tanuj Misra, Sapna Nigam, Karambir Singh Hooda
Publikováno v:
Frontiers in Plant Science, Vol 13 (2022)
Maydis leaf blight (MLB) of maize (Zea Mays L.), a serious fungal disease, is capable of causing up to 70% damage to the crop under severe conditions. Severity of diseases is considered as one of the important factors for proper crop management and o
Externí odkaz:
https://doaj.org/article/40be5631f75f48b48dbb3e0a9ea11732
Autor:
MD ASHRAFUL HAQUE, SUDEEP MARWAHA, ALKA ARORA, RANJIT KUMAR PAUL, KARAMBIR SINGH HOODA, ANU SHARMA, MONENDRA GROVER
Publikováno v:
The Indian Journal of Agricultural Sciences, Vol 91, Iss 9 (2021)
In recent years, deep learning techniques have become very popular in the field of image recognition and classification. Image-based diagnosis of diseases in crops using deep learning techniques has become trendy in the current scientific community.
Externí odkaz:
https://doaj.org/article/f5091dcce5ec4bf0980907b39da13983
Autor:
BHUPENDER KUMAR, SHYAM BIR SINGH, VISHAL SINGH, KARAMBIR SINGH HOODA, PRAVIN KUMAR BAGARIA, KRISHAN KUMAR, HANS RAJ PRADHAN, SONU KUMAR, MEENAKSHI MEENAKSHI, PRADEEP BHATI, BRIJESH KUMAR, GARIMA CHATURVEDI, SUJAY RAKSHIT
Publikováno v:
The Indian Journal of Agricultural Sciences, Vol 90, Iss 1 (2020)
Maydis leaf blight (MLB) resistance and days to flowering are the important yield determining traits in maize. Breeding for MLB resistance and days to flowering can be accelerated by understanding their genetics and identifying genomic regions contri
Externí odkaz:
https://doaj.org/article/0a00f05b1e7340b7be72a15fda7b68b1
Publikováno v:
Indian Phytopathology. 75:293-295
Autor:
Bhupender Kumar, Mukesh Choudhary, Pardeep Kumar, Krishan Kumar, Sonu Kumar, Brijesh Kumar Singh, Chayanika Lahkar, null Meenakshi, Pushpendra Kumar, Zahoor Ahmed Dar, Rakesh Devlash, Karambir Singh Hooda, Satish Kumar Guleria, Sujay Rakshit
Publikováno v:
Genes; Volume 13; Issue 4; Pages: 618
Maize is an important cereal crop in the world for feed, food, fodder, and raw materials of industries. Turcicum leaf blight (TLB) is a major foliar disease that can cause more than 50% yield losses in maize. Considering this, the molecular diversity
Autor:
Md. Ashraful Haque, Sudeep Marwaha, Chandan Kumar Deb, Sapna Nigam, Alka Arora, Karambir Singh Hooda, P. Lakshmi Soujanya, Sumit Kumar Aggarwal, Brejesh Lall, Mukesh Kumar, Shahnawazul Islam, Mohit Panwar, Prabhat Kumar, R. C. Agrawal
Publikováno v:
Scientific reports. 12(1)
In recent years, deep learning techniques have shown impressive performance in the field of identification of diseases of crops using digital images. In this work, a deep learning approach for identification of in-field diseased images of maize crop