Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Sai Vikas Desai"'
Publikováno v:
Plant Methods, Vol 16, Iss 1, Pp 1-16 (2020)
Abstract Background Panicle density of cereal crops such as wheat and sorghum is one of the main components for plant breeders and agronomists in understanding the yield of their crops. To phenotype the panicle density effectively, researchers agree
Externí odkaz:
https://doaj.org/article/f096425753604ff7a4d294064f3f6d67
Autor:
Shivangana Rawat, Akshay L. Chandra, Sai Vikas Desai, Vineeth N. Balasubramanian, Seishi Ninomiya, Wei Guo
Publikováno v:
Plant Phenomics, Vol 2022 (2022)
Training deep learning models typically requires a huge amount of labeled data which is expensive to acquire, especially in dense prediction tasks such as semantic segmentation. Moreover, plant phenotyping datasets pose additional challenges of heavy
Externí odkaz:
https://doaj.org/article/217f06736eb84b319cc48745048cfd16
Publikováno v:
Plant Methods, Vol 15, Iss 1, Pp 1-11 (2019)
Abstract Background Accurate estimation of heading date of paddy rice greatly helps the breeders to understand the adaptability of different crop varieties in a given location. The heading date also plays a vital role in determining grain yield for r
Externí odkaz:
https://doaj.org/article/71487e5e95c64225b1d82882b1de40ec
Autor:
Bhat Dittakavi, Divyagna Bavikadi, Sai Vikas Desai, Soumi Chakraborty, Nishant Reddy, Vineeth N Balasubramanian, Bharathi Callepalli, Ayon Sharma
Publikováno v:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0cc65bcd47aa353e458b55c3767f698b
https://doi.org/10.1109/cvprw56347.2022.00398
https://doi.org/10.1109/cvprw56347.2022.00398
Publikováno v:
CVPR Workshops
We study the problem of using active learning to reduce annotation effort in training object detectors. Existing efforts in this space ignore the fact that image annotation costs are variable, depending on the number of objects present in a single im
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a3fa4190644b6b5356482ee70a1c35bc
https://doi.org/10.1109/cvprw50498.2020.00470
https://doi.org/10.1109/cvprw50498.2020.00470
Autor:
Wei Guo, Sai Vikas Desai, M. Balram, Ajay Kumar, Pachamuthu Rajalakshmi, Vineeth N Balasubramanian, Uday B. Desai, Balaji Naik
Publikováno v:
Remote Sensing Applications: Society and Environment. 23:100549
Regular monitoring is worthwhile to maintain a healthy crop. Historically, the manual observation was used to monitor crops, which is time-consuming and often costly. The recent boom in the development of Unmanned Aerial Vehicles (UAVs) has establish
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cbe97677afbfcec9990c6ff5d8156273
https://doi.org/10.1016/j.rsase.2021.100549
https://doi.org/10.1016/j.rsase.2021.100549
Publikováno v:
Plant Methods
Plant Methods, Vol 16, Iss 1, Pp 1-16 (2020)
Plant Methods, Vol 16, Iss 1, Pp 1-16 (2020)
Panicle density of cereal crops such as wheat and sorghum is one of the main components for plant breeders and agronomists in understanding the yield of their crops. To phenotype the panicle density effectively, researchers agree there is a significa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ea0e74ebd2ce63734f157e2f00973879
