Built on Snowflake architecture, the platform has increased S&P’s coverage of SMEs by 5X. “Our objective was expansion and efficiency,” explained Moody Hadi, S&P Global’s head of risk ...

image: Performance of different object detection models: (a) Precision–recall with differentmodels; (b) mAP50 (%) achieved using different models.

ABSTRACT: Creation of a spectral signature reflectance data, which aids in the identification of the crops is important in determining size and location crop fields. Therefore, we developed a spectral ...

Deep learning techniques, especially convolutional neural networks (CNNs) and YOLOv8 algorithms, have emerged as highly accurate and efficient tools for image-based pest and disease detection. Using ...

This repository contains a project for segmenting diseases in plant leaves using deep learning techniques. The dataset used in this project is sourced from Kaggle, consisting of 2940 images of ...