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 …
Bioinformatics in Agriculture and Ecology Using Few-Shots Learning From Field to Conservation
The integration of bioinformatics with contemporary machine-learning algorithms is
transforming sustainable practices and conservation activities in biology and agriculture …
transforming sustainable practices and conservation activities in biology and agriculture …
[PDF][PDF] Performance Analysis of Few-Shot Learning Approaches for Bangla Handwritten Character and Digit Recognition
M Ahamed, RB Kabir, TT Dipto, M Al Mushabbir… - researchgate.net
Few-shot learning (FSL) offers a promising solution for classification tasks with limited
labeled examples, offering a valuable solution for languages with limited annotated …
labeled examples, offering a valuable solution for languages with limited annotated …