Identification of Resistant Common Bean Genotypes to Foliar Diseases using Hyperspectral Data: Review-Reference-Cited by-同舟云学术

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Identification of Resistant Common Bean Genotypes to Foliar Diseases using Hyperspectral Data: Review

Published:2023-11-15 Issue: Volume:Doctorate Page:1-9
ISSN:
Container-title:2023 First International Conference on the Advancements of Artificial Intelligence in African Context (AAIAC)
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Author:

Irakiza Josiane¹,Kaijage Shubi²,Leo Judith²,Mamo Teshale³,Mbelwa Hope²,Guerena David⁴

Affiliation:

1. The Alliance of Bioversity and CIAT,The Nelson Mandela-AIST,Arusha,Tanzania

2. The Nelson Mandela-AIST,COCSE,Arusha,Tanzania

3. The Alliance of Bioversity and CIAT,Breeding Department,Arusha,Tanzania

4. The Alliance of Bioversity and CIAT,ARTEMIS,Arusha,Tanzania

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10464383/10465269/10465322.pdf?arnumber=10465322

Reference64 articles.

1. Review on effect of N and P fertilizer rates on yield and yield components of common bean [Phaseolus vulgaris (L.)] varieties

2. Common bean legumes;common bean vegetable,2021

3. VARIETY CATALOGUE OF COMMON BEANS (Phaseolus Vulgaris) IN TANZANIA;Ndimbo,2022

4. Leaf image-based classification of some common bean cultivars using discriminative convolutional neural networks

5. Sustainable agriculture in the era of omics: knowledge-driven crop breeding

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