The multimodal and modular ai chef: Complex recipe generation from imagery
D Noever, SEM Noever - arXiv preprint arXiv:2304.02016, 2023 - arxiv.org
The AI community has embraced multi-sensory or multi-modal approaches to advance this
generation of AI models to resemble expected intelligent understanding. Combining …
generation of AI models to resemble expected intelligent understanding. Combining …
An efficient transfer learning-based approach for apple leaf disease classification
MH Ashmafee, T Ahmed, S Ahmed… - 2023 International …, 2023 - ieeexplore.ieee.org
Correct identification and categorization of plant diseases are crucial for ensuring the safety
of the global food supply and the overall financial success of stakeholders. In this regard, a …
of the global food supply and the overall financial success of stakeholders. In this regard, a …
Cotton leaf disease identification using transfer learning
Accurate identification and classification of plant diseases play a vital role in safeguarding
global food production and ensuring the economic well-being of the stakeholders. Various …
global food production and ensuring the economic well-being of the stakeholders. Various …
A Critical Analysis of Deep Learning Applications in Crop Pest Classification: Promising Pathways and Limitations
MH Rafi, MR Mahjabin, MS Rahman… - … on Computer and …, 2023 - ieeexplore.ieee.org
Deep Learning (DL) has recently emerged as a pivotal tool in a wide variety of agricultural
end-level applications. While promising outcomes have been achieved in crop disease …
end-level applications. While promising outcomes have been achieved in crop disease …
Computation Analysis of Multi-Class Plant Disease Diagnosis using Deep Learning Models
G Bakshi, S Goel - 2023 IEEE 2nd International Conference on …, 2023 - ieeexplore.ieee.org
Horticulture is the art of cultivating fruits and vegetables, forming the base of both health and
business. Despite replacing traditional methods, plant monitoring and disease diagnosis …
business. Despite replacing traditional methods, plant monitoring and disease diagnosis …