Search Results - "Baddam, Rekha"

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

“…Terminal drought stress leads to substantial annual yield losses in chickpea (Cicer arietinum L.). Adaptation to water limitation is a matter of matching water…”
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X-ray driven peanut trait estimation: computer vision aided agri-system transformation by Domhoefer, Martha, Chakraborty, Debarati, Hufnagel, Eva, Claußen, Joelle, Wörlein, Norbert, Voorhaar, Marijn, Anbazhagan, Krithika, Choudhary, Sunita, Pasupuleti, Janila, Baddam, Rekha, Kholova, Jana, Gerth, Stefan

“…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…”
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Hybrid-AI and Model Ensembling to Exploit UAV-Based RGB Imagery: An Evaluation of Sorghum Crop’s Nitrogen Content by Hammouch, Hajar, Patil, Suchitra, Choudhary, Sunita, El-Yacoubi, Mounim A., Masner, Jan, Kholová, Jana, Anbazhagan, Krithika, Vaněk, Jiří, Qin, Huafeng, Stočes, Michal, Berbia, Hassan, Jagarlapudi, Adinarayana, Chandramouli, Magesh, Mamidi, Srinivas, Prasad, KVSV, Baddam, Rekha

“…Non-invasive crop analysis through image-based methods holds great promise for applications in plant research, yet accurate and robust trait inference from…”
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Dual-Purpose Sorghum: A Targeted Sustainable Crop-Livestock Intervention for the Smallholder Subsistence Farming Communities of Adilabad, India by Anbazhagan, Krithika, Voorhaar, Marijn, Kholová, Jana, Chadalavada, Keerthi, Choudhary, Sunita, Mallayee, Srikanth, Kaliamoorthy, Sivasakthi, Garin, Vincent, Baddam, Rekha, Rao, Kumra Vittal, Nedumaran, Swamikannu, Selvaraj, Aravazhi

“…Sorghum plays an important role in the mixed crop–livestock system of tribal farming communities in Adilabad District, a high climate risk-prone region in…”
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A step towards inter-operable Unmanned Aerial Vehicles (UAV) based phenotyping; A case study demonstrating a rapid, quantitative approach to standardize image acquisition and check quality of acquired images by Priyanka, Gattu, Choudhary, Sunita, Anbazhagan, Krithika, Naresh, Dharavath, Baddam, Rekha, Jarolimek, Jan, Parnandi, Yogesh, Rajalakshmi, P., Kholova, Jana

“…The Unmanned aerial vehicles (UAVs) - based imaging is being intensively explored for precise crop evaluation. Various optical sensors, such as RGB,…”
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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.) by Tharanya, Murugesan, Kholova, Jana, Sivasakthi, Kaliamoorthy, Seghal, Deepmala, Hash, Charles Tom, Raj, Basker, Srivastava, Rakesh Kumar, Baddam, Rekha, Thirunalasundari, Thiyagarajan, Yadav, Rattan, Vadez, Vincent

“…Key message Four genetic regions associated with water use traits, measured at different levels of plant organization, and with agronomic traits were…”
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An APSIM-powered framework for post-rainy sorghum-system design in India by Ronanki, Swarna, Pavlík, Jan, Masner, Jan, Jarolímek, Jan, Stočes, Michal, Subhash, Degala, Talwar, Harvinder S., Tonapi, Vilas A., Srikanth, Mallayee, Baddam, Rekha, Kholová, Jana

“…Sorghum contributes to the livelihoods of millions of food-insecure households in semi-arid agri-systems. Annual production widely fluctuates throughout India…”
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RGB images of sorghum fields gathered by UAV flights by Choudhary, Sunita, Patil, Suchitra, Anbazhagan, Krithika, Chandramouli, Magesh, Mamidi, Srinivas, KSVV, Prasad, Baddam, Rekha, Hammouch, Hajar, El-Yacoubi, Mounim A., Masner, Jan, Vaněk, Jiří, Qin, Huafeng, Michal, Stočes, Berbia, Hassan

“…A supplementary datase for the paper Hybrid-AI and model ensembling to exploit UAV-based RGB imagery: Evaluation of sorghum crops nitrogen content. The data…”
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