Smart agriculture has assumed increasing importance due to the growing age of farmers
and a shortage of farm leaders. In response, it is crucial to provide more opportunities to …

In multidisciplinary agricultural technology domain, deep learning opens up new
possibilities for information research. This review paper presents 72 article and projects that …

Malaysia's rice production, consumption and area harvested are relatively small compared
to its neighboring countries. Farmers lose an estimated average of 37% of their rice crop to …

Greening is a Common Agricultural Policy (CAP) subsidy that ensures that all EU farmers
receiving income support produce climate and environmental benefits as part of their …

El matorral seco montano es un ecosistema característico de los valles situados en los
Andes del Norte entre 1.800 y 2.600 m snm, se encuentran muy amenazados por la fuerte …

Smart agriculture has assumed increasing importance due to the growing age of farmers
and a shortage of farm leaders. In response, it is crucial to provide more opportunities to …

Fraud detection is one of the most important tasks in Web platforms such as e-commerce,
social media, network security, and financial systems. To prevent fraudulent actions from …

This project report presents an in-depth exploration of" Satellite Image Analysis for Farm
Area Segmentation," an initiative aimed at leveraging advanced technologies and deep …

Abstract We present Deep MinCut (DMC), an unsupervised approach to learn node
embeddings for graph-structured data. It derives node representations based on their …

Data redundancy has been one of the most important problems in data-intensive
applications such as data mining and machine learning. Removing data redundancy brings …