Browse by ICRISAT Creators

CGIAR’s Crop to End Hunger initiative

Domhoefer, M and Chakraborty, D and Hufnagel, E and Claußen, J and Wörlein, N and Voorhaar, M and Anbazhagan, K and Choudhary, S and Pasupuleti, J and Baddam, R and Kholova, J and Gerth, S (2022) X‑ray driven peanut trait estimation: computer vision aided agri‑system transformation. Plant Methods (TSI), 18. 01-12. ISSN 1746-4811

Czech University of Life Sciences Prague

Domhoefer, M and Chakraborty, D and Hufnagel, E and Claußen, J and Wörlein, N and Voorhaar, M and Anbazhagan, K and Choudhary, S and Pasupuleti, J and Baddam, R and Kholova, J and Gerth, S (2022) X‑ray driven peanut trait estimation: computer vision aided agri‑system transformation. Plant Methods (TSI), 18. 01-12. ISSN 1746-4811

This research was funded by the CGIAR Research Program grant for Grain Legumes and Dryland Cereals–ICRISAT (GLDC-ICRISAT; 2018–2022); CGIAR’s Crop to End Hunger initiative– ICRISAT (a multi-funder initiative led by USAID and including the Gates Foundation

Chadalavada, K and Anbazhagan, K and Ndour, A and Choudhary, S and Palmer, W and Flynn, J R and Mallayee, S and Pothu, S and Prasad, K V S S and Varijakshapanikar, P and Jones, C S and Kholová, J (2022) NIR Instruments and Prediction Methods for Rapid Access to Grain Protein Content in Multiple Cereals. Sensors, 22. pp. 1-18. ISSN 1424-8220

This research work was sourced fromongoing projects funded by USAID grant for Climate Resilient Sorghum (2013–18), ACIAR for improving post-rainy sorghum varieties to meet the growing grain and fodder demand in India (2015–18), CGIAR’s Crop to End Hunger

Anbazhagan, K and Voorhaar, M and Kholova, J and Chadalavada, K and Choudhary, S and Mallayee, S and Kaliamoorthy, S and Garin, V and Baddam, R and Rao, K V and Nedumaran, S and Selvaraj, A (2022) Dual-Purpose Sorghum: A Targeted Sustainable Crop-Livestock Intervention for the Smallholder Subsistence Farming Communities of Adilabad, India. Frontiers in Sustainable Food Systems (TSI), 6 (742909). pp. 1-14. ISSN 2571-581X

USAID and including the Gates Foundation

Domhoefer, M and Chakraborty, D and Hufnagel, E and Claußen, J and Wörlein, N and Voorhaar, M and Anbazhagan, K and Choudhary, S and Pasupuleti, J and Baddam, R and Kholova, J and Gerth, S (2022) X‑ray driven peanut trait estimation: computer vision aided agri‑system transformation. Plant Methods (TSI), 18. 01-12. ISSN 1746-4811