Browse by Affiliation

    Up a level
    Export as [feed] Atom [feed] RSS 1.0 [feed] RSS 2.0
    Group by: Creators | Item Type | Date | No Grouping
    Jump to: N
    Number of items: 1.

    N

    Nayak, H S and Silva, J S and Parihar, C M and Krupnik, T J and Sena, D R and Kakraliya, S K and Jat, H S and Sidhu, H S and Sharma, P C and Jat, M L and Sapkota, T B (2022) Interpretable machine learning methods to explain on-farm yield variability of high productivity wheat in Northwest India. Field Crops Research (TSI), 287. pp. 1-14. ISSN 0378-4290

    This list was generated on Wed Jul 17 09:52:37 2024 UTC.
    OAR@ICRISAT is powered by EPrints 3 which is developed by the School of Electronics and Computer Science at the University of Southampton. More information and software credits.