Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Tanuj Misra"'
Autor:
Tanuj Misra, Alka Arora, Sudeep Marwaha, Ranjeet Ranjan Jha, Mrinmoy Ray, Shailendra Kumar, Sudhir Kumar, Viswanathan Chinnusamy
Publikováno v:
Applied Artificial Intelligence, Vol 36, Iss 1 (2022)
High-throughput plant phenotyping integrated with computer vision is an emerging topic in the domain of nondestructive and noninvasive plant breeding. Analysis of the emerging grain spikes and the grain weight or yield estimation in the wheat plant f
Externí odkaz:
https://doaj.org/article/fc34145670a54e52b238247599032998
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:
TANUJ MISRA, SUDEEP MARWAHA, ALKA ARORA, MRINMOY RAY, SHAILENDRA KUMAR, SUDHIR KUMAR, VISWANATHAN CHINNUSAMY
Publikováno v:
The Indian Journal of Agricultural Sciences, Vol 91, Iss 3 (2022)
Crop growth, health, and correspondingly yield are much affected by abiotic environmental factors. Abiotic stress is considered as a threat to food security and has a disastrous consequence. Phenotyping parameters such as leaf area assessment is of u
Externí odkaz:
https://doaj.org/article/d4aaf9f6b6f9482999e49c80b56ba550
Autor:
Tanuj Misra, Alka Arora, Sudeep Marwaha, Ranjeet Ranjan Jha, Mrinmoy Ray, Rajni Jain, A. R. Rao, Eldho Varghese, Shailendra Kumar, Sudhir Kumar, Aditya Nigam, Rabi Narayan Sahoo, Viswanathan Chinnusamy
Publikováno v:
IEEE Access, Vol 9, Pp 76235-76247 (2021)
Computer vision with deep learning is emerging as a significant approach for non-invasive and non-destructive plant phenotyping. Spikes are the reproductive organs of wheat plants. Detection and counting of spikes considered the grain-bearing organ h
Externí odkaz:
https://doaj.org/article/d1936b60753a4ef59eab2ac0f25c6365
Autor:
Tanuj Misra, Alka Arora, Sudeep Marwaha, Viswanathan Chinnusamy, Atmakuri Ramakrishna Rao, Rajni Jain, Rabi Narayan Sahoo, Mrinmoy Ray, Sudhir Kumar, Dhandapani Raju, Ranjeet Ranjan Jha, Aditya Nigam, Swati Goel
Publikováno v:
Plant Methods, Vol 16, Iss 1, Pp 1-20 (2020)
Abstract Background High throughput non-destructive phenotyping is emerging as a significant approach for phenotyping germplasm and breeding populations for the identification of superior donors, elite lines, and QTLs. Detection and counting of spike
Externí odkaz:
https://doaj.org/article/c1476ea3e5054c6c9c42011d6a7ed106
Autor:
TANUJ MISRA, ALKA ARORA, SUDEEP MARWAHA, MRINMOY RAY, DHANDAPANI RAJU, SUDHIR KUMAR, SWATI GOEL, RABI NARAYAN SAHOO, VISWANATHAN CHINNUSAMY
Publikováno v:
The Indian Journal of Agricultural Sciences, Vol 89, Iss 10 (2019)
Prediction of fresh biomass is the key for evaluation of the response of crop genotypes to diverse input and stress conditions, and forms basis for calculating net primary production. Hence, accurate and high throughput estimation of fresh biomass is
Externí odkaz:
https://doaj.org/article/5614348e15fd4ec59c2dde36639fd6e6
Autor:
Rabi N. Sahoo, C. Viswanathan, Mahesh Kumar, Swati Bhugra, Sourabh Karwa, Tanuj Misra, R. Dhandapani, Sudhir Kumar
Publikováno v:
Translating Physiological Tools to Augment Crop Breeding ISBN: 9789811974977
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bfd251e8db447d7e01e12162f80884eb
https://doi.org/10.1007/978-981-19-7498-4_13
https://doi.org/10.1007/978-981-19-7498-4_13
Publikováno v:
Studies in Big Data ISBN: 9789819905768
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b4539c748e7f62b589ddfc447a1686b4
https://doi.org/10.1007/978-981-99-0577-5_13
https://doi.org/10.1007/978-981-99-0577-5_13
Publikováno v:
International Journal of Current Microbiology and Applied Sciences. 10:809-815
Autor:
Eldho Varghese, Alka Arora, Viswanathan Chinnusamy, Ranjeet Ranjan Jha, Sudhir Kumar, Rabi Narayan Sahoo, Rajni Jain, Tanuj Misra, Aditya Nigam, Atmakuri Ramakrishna Rao, Shailendra Kumar, Sudeep Marwaha, Mrinmoy Ray
Publikováno v:
IEEE Access, Vol 9, Pp 76235-76247 (2021)
Computer vision with deep learning is emerging as a significant approach for non-invasive and non-destructive plant phenotyping. Spikes are the reproductive organs of wheat plants. Detection and counting of spikes considered the grain-bearing organ h