Hybrid-AI and Model Ensembling to Exploit UAV-Based RGB Imagery: An Evaluation of Sorghum Crop’s Nitrogen Content

Autor: Hajar Hammouch, Suchitra Patil, Sunita Choudhary, Mounim A. El-Yacoubi, Jan Masner, Jana Kholová, Krithika Anbazhagan, Jiří Vaněk, Huafeng Qin, Michal Stočes, Hassan Berbia, Adinarayana Jagarlapudi, Magesh Chandramouli, Srinivas Mamidi, KVSV Prasad, Rekha Baddam

Publikováno v: Agriculture, Vol 14, Iss 10, p 1682 (2024)

Non-invasive crop analysis through image-based methods holds great promise for applications in plant research, yet accurate and robust trait inference from images remains a critical challenge. Our study investigates the potential of AI model ensembli

Externí odkaz: https://doaj.org/article/73c34b7898424644ac633be4c35554ec

X-ray driven peanut trait estimation: computer vision aided agri-system transformation

Autor: Martha Domhoefer, Debarati Chakraborty, Eva Hufnagel, Joelle Claußen, Norbert Wörlein, Marijn Voorhaar, Krithika Anbazhagan, Sunita Choudhary, Janila Pasupuleti, Rekha Baddam, Jana Kholova, Stefan Gerth

Publikováno v: Plant Methods, Vol 18, Iss 1, Pp 1-14 (2022)

Abstract Background In India, raw peanuts are obtained by aggregators from smallholder farms in the form of whole pods and the price is based on a manual estimation of basic peanut pod and kernel characteristics. These methods of raw produce evaluati

Externí odkaz: https://doaj.org/article/0c8f51c9770b4e1b9ec1c335d1d6a723

Plant vigour QTLs co-map with an earlier reported QTL hotspot for drought tolerance while water saving QTLs map in other regions of the chickpea genome

Autor: Kaliamoorthy Sivasakthi, Mahendar Thudi, Murugesan Tharanya, Sandip M. Kale, Jana Kholová, Mahamat Hissene Halime, Deepa Jaganathan, Rekha Baddam, Thiyagarajan Thirunalasundari, Pooran M. Gaur, Rajeev K. Varshney, Vincent Vadez

Publikováno v: BMC Plant Biology, Vol 18, Iss 1, Pp 1-18 (2018)

Abstract Background Terminal drought stress leads to substantial annual yield losses in chickpea (Cicer arietinum L.). Adaptation to water limitation is a matter of matching water supply to water demand by the crop. Therefore, harnessing the genetics

Externí odkaz: https://doaj.org/article/567cb7005a174b2187d1a17959a30cba

Quantitative trait loci (QTLs) for water use and crop production traits co-locate with major QTL for tolerance to water deficit in a fine-mapping population of pearl millet (Pennisetum glaucum L. R.Br.)

Autor: Rakesh K. Srivastava, Rekha Baddam, Murugesan Tharanya, Kaliamoorthy Sivasakthi, Vincent Vadez, T. Thirunalasundari, Basker Raj, Jana Kholova, Deepmala Seghal, Charles Tom Hash, Rattan Yadav

Publikováno v: TAG Theoretical and Applied Genetics
TAG Theoretical and Applied Genetics, Springer Verlag, 2018, 131 (7), pp.1509-1529. ⟨10.1007/s00122-018-3094-6⟩

International audience; Four genetic regions associated with water use traits, measured at different levels of plant organization, and with agronomic traits were identified within a previously reported region for terminal water deficit adaptation on

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3d800d0b19b7913a2d8d333e280d0bd4
https://pubmed.ncbi.nlm.nih.gov/29679097

Modelling the effect of plant water use traits on yield and stay-green expression in sorghum

Autor: Peter Craufurd, Greg McLean, Graeme Hammer, Rekha Baddam, Vincent Vadez, Tharanya Murugesan, C. Thomas Hash, Sivasakthi Kaliamoorthy, Jana Kholova, Srikanth Malayee, Santosh Deshpande

Publikováno v: Functional plant biology : FPB. 41(11)

Post-rainy sorghum (Sorghum bicolor (L.) Moench) production underpins the livelihood of millions in the semiarid tropics, where the crop is affected by drought. Drought scenarios have been classified and quantified using crop simulation. In this repo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::888c761d165f21389ba04c4b69f565fc
https://pubmed.ncbi.nlm.nih.gov/32481055