The quality of tropical fruits and vegetables and the expanding global interest in eating
healthy foods have resulted in the continual development of reliable, quick, and cost …

Fruit and vegetable quality assessment is a critical task in agricultural and food industries,
impacting various stages from production to consumption. Leveraging deep learning …

The demand for high-quality tomatoes to meet consumer and market standards, combined
with large-scale production, has necessitated the development of an inline quality grading …

Recent advancements in signal processing and computational power have revolutionized
computer vision applications in diverse industries such as agriculture, food processing …

Food loss and waste occur throughout the food supply chain and represent food security
and environmental, economic, and societal problems. Fresh fruit and vegetables contribute …

The development of autonomous vehicles, especially in the context of self-driving cars,
depends heavily on object detection and classification. In order to provide safe and effective …

Agriculture is the most crucial sector of the Indian economy. Lately, there has been a surge
in the usage of technologies like deep learning and computer vision to make the process of …

Tiny Machine Learning (TinyML) is a branch of Machine Learning (ML) that constitutes a
bridge between the ML world and the embedded system ecosystem (ie, Internet-of-Things …

We are living in this hurly burly world of Tumult and Turmoil where many problems arises
who have not any exact solution/answer like we have health and nutrition problems people …

This paper presents a novel method for rating carrot quality that achieves unmatched
precision by utilizing Gradient Boosting algorithms. We are redefining agricultural grading …