Today farmers around the world are gradually embracing Smart farming assisted by different
cutting-edge technologies. The Internet of Things (IoT) is playing a major role in the …

The agriculture sector is confronted with numerous challenges in the quest for accurate crop
yield estimation, which is essential for efficient resource management and mitigating food …

This research explores the application of Artificial Intelligence (AI) in the Internet of Things
(IoT) for crop yield prediction in agriculture. IoT devices, like sensors and drones, collect …

Crop yield prediction is one of the crucial components of agriculture that plays an important
role in the decision-making process for sustainable agriculture. Remote sensing provides …

Context: In the livestock domain, technologies are developed to sustainably raise animal
production. However, the domain is critical, since animals are very sensitive to variables …

Objective The worldwide economies are built on agriculture, and plans for food security,
resource allocation, and agricultural practices are all heavily influenced by accurate crop …

Deep learning and its models have provided exciting solutions in various image processing
applications like image segmentation, classification, labeling, etc., which paved the way to …

Automatic hate speech identification in unstructured Twitter is significantly more difficult to
analyze, posing a significant challenge. Existing models heavily depend on feature …

Purpose This study aimed to understand the agri-entrepreneurial traits of undergraduate
university students using machine learning (ML) algorithms. Design/methodology/approach …

Crop models are instrumental in simulating resource utilization in agriculture, yet their
complexity necessitates extensive calibration, which can impact the accuracy of yield …