Rhizosphere engineering for crop improvement

Singh, Ajit; Kiran, Shilpi; Saurabh, Satyajit; Kumari, Shweta

doi:10.1016/b978-0-323-89973-4.00008-9

Cited by 3 publications

(4 citation statements)

References 140 publications

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“…They made use of the fact that the words used to begin a question and an answer have a significant link. To provide solutions to multiple-choice question answering, [18] used word2Vec to extract question features. For each questionanswer pair, fixed-length vectors were constructed and Stanford parsers were used to create four semantic bins.…”

Section: Methods Papermentioning

confidence: 99%

“…Information fusion is the process of combining two feature vectors-Visual features and Language features. Simple operations on feature vectors, such as concatenation, elementwise summing, or element-wise multiplication, can be used to do this [1,6,18]. Fukui and others [29] proposed MCB, a new joint representation technique that is easy to use but effective.…”

Section: Fusion Techniquesmentioning

confidence: 99%

“…Additionally, in coattention fusion, visual features are utilized to attend question features while question features are used to attend visual features. [5,18,30,31] used visual attention for their VQA model. In [5] the model learns the weights of visual features to select a small portion of the image.…”

Section: Fusion Techniquesmentioning

confidence: 99%

See 2 more Smart Citations

A Comprehensive Review and Open Challenges on Visual Question Answering Models

Shaik,

Koshti,

Gupta

et al. 2023

AiBi Revista de Investigación, Administración e Ingeniería

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Users are now able to actively interact with images and pose different questions based on images, thanks to recent developments in artificial intelligence. In turn, a response in a natural language answer is expected. The study discusses a variety of datasets that can be used to examine applications for visual question-answering (VQA), as well as their advantages and disadvantages. Four different forms of VQA models—simple joint embedding-based models, attention-based models, knowledge-incorporated models, and domain-specific VQA models—are in-depth examined in this article. We also critically assess the drawbacks and future possibilities of all current state-of-the-art (SoTa), end-to-end VQA models. Finally, we present the directions and guidelines for further development of the VQA models.

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Section: Methods Papermentioning

confidence: 99%

Section: Fusion Techniquesmentioning

confidence: 99%

See 1 more Smart Citation

A Comprehensive Review and Open Challenges on Visual Question Answering Models

Shaik,

Koshti,

Gupta

et al. 2023

AiBi Revista de Investigación, Administración e Ingeniería

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“…Faba bean grown in intercropping produced more root exudate than when grown in monoculture (Liu et al, 2019;Li et al, 2019). Root exudates such as strigolactone, another phytohormone, are reported to regulate; regulate spore germination (Foo et al, 2013;Singh et al, 2022). In addition, root exudates such as quercetin and strigolactone act as signals for spore germination (Marschner, 2011).…”

Section: Introductionmentioning

confidence: 99%

Mycorrhiza Diversity in Some Intercropping Systems of Potato (Solanum tuberosum L) and Faba Bean (Vicia faba L)

Taurinanda,

Banjarnahor

2023

JTEP-L

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Arbuscular mycorrhizal fungi (AMF) is the most widely distributed mycorrhizal fungi in the soil and can make a symbiosis with the roots of host plants to form arbuscular mycorrhizal symbionts. Intercropping is a practice of polyculture cropping where two or more plant species are simultaneously cultivated in the same field. The objective of this study was to define the effect of intercropping on the density and diversity of mycorrhizal spores. In this study, potatoes and faba beans, both of which have the ability to symbiosis with mycorrhizae, were intercropped. A randomized group design with 5 planting system treatments was employed in this study with 5 replications. The results concluded that density of mycorrhizal spores in the intercropping planting pattern was not statistically different from the density of mycorrhiza in the monoculture cultivation pattern. The types of mycorrhiza found included the genus of Glomus, Funneliformis, Scutellospora, Cetraspora, Septoglomus, and Entrophospora Keywords: pH; Root exudate; Spore density, Spore identification; Spore diversity.

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