Characterization of common bean production regions in Brazil using machine learning techniques
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DOI: 10.1016/j.agsy.2024.104237
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- Justino, Ludmilla Ferreira & Alves Júnior, José & Battisti, Rafael & Heinemann, Alexandre Bryan & Leite, Caio Vinicius & Evangelista, Adão Wagner Pêgo & Casaroli, Derblai, 2019. "Assessment of economic returns by using a central pivot system to irrigate common beans during the rainfed season in Central Brazil," Agricultural Water Management, Elsevier, vol. 224(C), pages 1-1.
- Karimzadeh Soureshjani, Hedayatollah & Nezami, Ahmad & Kafi, Mohammad & Tadayon, Mahmoudreza, 2019. "Responses of two common bean (Phaseolus vulgaris L.) genotypes to deficit irrigation," Agricultural Water Management, Elsevier, vol. 213(C), pages 270-279.
- Thierry Michel Tene & Hatice Sari & Huseyin Canci & Amar Maaruf & Tuba Eker & Cengiz Toker, 2023. "Traits Related to Heat Stress in Phaseolus Species," Agriculture, MDPI, vol. 13(5), pages 1-20, April.
- Mathobo, Rudzani & Marais, Diana & Steyn, Joachim Martin, 2017. "The effect of drought stress on yield, leaf gaseous exchange and chlorophyll fluorescence of dry beans (Phaseolus vulgaris L.)," Agricultural Water Management, Elsevier, vol. 180(PA), pages 118-125.
- Antolin, Luís A.S. & Heinemann, Alexandre B. & Marin, Fábio R., 2021. "Impact assessment of common bean availability in Brazil under climate change scenarios," Agricultural Systems, Elsevier, vol. 191(C).
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Keywords
Phaseolus vulgaris L.; Crop model; Target population of environments; Crop improvement;All these keywords.
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