Estimation of Mung Bean [Vigna radiata (L.) Wilczek] Pod Shell Rate Using Curve Fitting and Artificial Neural Network Techniques
Author:
Affiliation:
1. Isparta University of Applied Science, Turkey
2. Ondokuz Mayis University, Turkey
Publisher
FapUNIFESP (SciELO)
Link
http://www.scielo.br/scielo.php?script=sci_pdf&pid=S1516-89132024000100216&tlng=en
Reference27 articles.
1. In the production of legumes current status and future. Turkish Agricultural Engineering IX;Ciftci CY;Technical Congress Proceedings Book-I,2020
2. Determination of Drought Sensitivity of Mung Bean (Vigna radiata (L.) Wilczek) Genotypes [Master's thesis];Akgunduz M.;Ondokuz Mayıs University,2020
3. Salt and drought stress and ABA responses related to bZIP genes from V. radiata and V. angularis;Wang L;Gene,2018
4. Genome-wide identification of AP2/ERF transcription factors in mungbean (Vigna radiata) and expression profiling of the VrDREB subfamily under drought stress;Labbo AM;Crop Pasture Sci,2018
5. In: Proceedings of the Final Workshop and Planning Meeting. Improving Income and Nutrition by Incorporating Mungbean in Cereal Fallows in the Indo-Gangetic Plains of South Asia;Ali M,2004
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