Zobrazeno 1 - 10
of 244
pro vyhledávání: '"Baskar, Ganapathysubramanian"'
Autor:
Anirudha Powadi, Talukder Zaki Jubery, Michael C. Tross, James C. Schnable, Baskar Ganapathysubramanian
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
In plant breeding and genetics, predictive models traditionally rely on compact representations of high-dimensional data, often using methods like Principal Component Analysis (PCA) and, more recently, Autoencoders (AE). However, these methods do not
Externí odkaz:
https://doaj.org/article/32380f25b1c14ba68cb325727cd9e90b
Autor:
Fateme Fotouhi, Kevin Menke, Aaron Prestholt, Ashish Gupta, Matthew E. Carroll, Hsin-Jung Yang, Edwin J. Skidmore, Matthew O’Neal, Nirav Merchant, Sajal K. Das, Peter Kyveryga, Baskar Ganapathysubramanian, Asheesh K. Singh, Arti Singh, Soumik Sarkar
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
IntroductionEffective monitoring of insect-pests is vital for safeguarding agricultural yields and ensuring food security. Recent advances in computer vision and machine learning have opened up significant possibilities of automated persistent monito
Externí odkaz:
https://doaj.org/article/4bb34f517fd849b3bba1fb5a0494ce55
Autor:
Muhammad Arbab Arshad, Talukder Jubery, James Afful, Anushrut Jignasu, Aditya Balu, Baskar Ganapathysubramanian, Soumik Sarkar, Adarsh Krishnamurthy
Publikováno v:
Plant Phenomics, Vol 6 (2024)
We evaluate different Neural Radiance Field (NeRF) techniques for the 3D reconstruction of plants in varied environments, from indoor settings to outdoor fields. Traditional methods usually fail to capture the complex geometric details of plants, whi
Externí odkaz:
https://doaj.org/article/9dd4608d0e974b2aa117afb70f77801c
Autor:
Mojdeh Saadati, Aditya Balu, Shivani Chiranjeevi, Talukder Zaki Jubery, Asheesh K. Singh, Soumik Sarkar, Arti Singh, Baskar Ganapathysubramanian
Publikováno v:
Plant Phenomics, Vol 6 (2024)
Plants encounter a variety of beneficial and harmful insects during their growth cycle. Accurate identification (i.e., detecting insects’ presence) and classification (i.e., determining the type or class) of these insect species is critical for imp
Externí odkaz:
https://doaj.org/article/f77cf20871cd4841af255f4bca19875b
Autor:
Therin J. Young, Shivani Chiranjeevi, Dinakaran Elango, Soumik Sarkar, Asheesh K. Singh, Arti Singh, Baskar Ganapathysubramanian, Talukder Z. Jubery
Publikováno v:
Agronomy, Vol 14, Iss 6, p 1181 (2024)
Automated canopy stress classification for field crops has traditionally relied on single-perspective, two-dimensional (2D) photographs, usually obtained through top-view imaging using unmanned aerial vehicles (UAVs). However, this approach may fail
Externí odkaz:
https://doaj.org/article/941c9991a7cc4e5a956930c8a98e0100
Autor:
Soumyashree Kar, Koushik Nagasubramanian, Dinakaran Elango, Matthew E. Carroll, Craig A. Abel, Ajay Nair, Daren S. Mueller, Matthew E. O'Neal, Asheesh K. Singh, Soumik Sarkar, Baskar Ganapathysubramanian, Arti Singh
Publikováno v:
Plant Phenome Journal, Vol 6, Iss 1, Pp n/a-n/a (2023)
Abstract Insect pests cause significant damage to food production, so early detection and efficient mitigation strategies are crucial. There is a continual shift toward machine learning (ML)‐based approaches for automating agricultural pest detecti
Externí odkaz:
https://doaj.org/article/122a81a376f34f1f8a008a6f4a749459
Autor:
David Dong, Koushik Nagasubramanian, Ruidong Wang, Ursula K. Frei, Talukder Z. Jubery, Thomas Lübberstedt, Baskar Ganapathysubramanian
Publikováno v:
Frontiers in Plant Science, Vol 14 (2023)
IntroductionComputer vision and deep learning (DL) techniques have succeeded in a wide range of diverse fields. Recently, these techniques have been successfully deployed in plant science applications to address food security, productivity, and envir
Externí odkaz:
https://doaj.org/article/7ec65d71f0ac4aac965cc50725572306
Autor:
Ramin Noruzi, Eunhee Lim, Balaji Sesha Sarath Pokuri, Michael L. Chabinyc, Baskar Ganapathysubramanian
Publikováno v:
npj Computational Materials, Vol 8, Iss 1, Pp 1-8 (2022)
Abstract Charge transport in molecular solids, such as semiconducting polymers, is strongly affected by packing and structural order over several length scales. Conventional approaches to modeling these phenomena range from analytical models to numer
Externí odkaz:
https://doaj.org/article/aa837a145d084039a7fadfb123ce211e
Autor:
Therin J. Young, Talukder Z. Jubery, Clayton N. Carley, Matthew Carroll, Soumik Sarkar, Asheesh K. Singh, Arti Singh, Baskar Ganapathysubramanian
Publikováno v:
Frontiers in Plant Science, Vol 14 (2023)
Advances in imaging hardware allow high throughput capture of the detailed three-dimensional (3D) structure of plant canopies. The point cloud data is typically post-processed to extract coarse-scale geometric features (like volume, surface area, hei
Externí odkaz:
https://doaj.org/article/3d46ba5e78ab44d498f1a3123e81840a
Autor:
Kevin O. Chiteri, Shivani Chiranjeevi, Talukder Zaki Jubery, Ashlyn Rairdin, Somak Dutta, Baskar Ganapathysubramanian, Arti Singh
Publikováno v:
Plant Phenome Journal, Vol 6, Iss 1, Pp n/a-n/a (2023)
Abstract Mungbean (Vigna radiata (L.) Wizcek) is an important pulse crop, increasingly used as a source of protein, fiber, low fat, carbohydrates, minerals, and bioactive compounds in human diets. Mungbean is a dicot plant with trifoliate leaves. The
Externí odkaz:
https://doaj.org/article/f8d34bdb1c4b4bb9bd9d1079557e0436