This research conducted a bibliometric analysis of scholarly literature on fruit sorting and
grading using machine vision, identifying primary themes, sources, most-cited publications …

Abstract Fractional Vegetation Coverage (FVC) is an essential indicator that captures
variations in vegetation and documents the impacts of climate change and human activity for …

As the banana industry develops, the demand for intelligent banana crown cutting is
increasing. To achieve efficient crown cutting of bananas, accurate segmentation of the …

Crop growth monitoring is pivotal in optimizing management strategies and maximizing
greenhouse production. Traditionally, crop monitoring is carried out manually, which makes …

Plant height is a crucial indicator of crop growth. Rapid measurement of crop height
facilitates the implementation and management of planting strategies, ensuring optimal crop …

Agricultural modernization urgently requires precise control of pear tree leaf diseases, with
accurate identification and segmentation of disease spots becoming crucial aspects for …

Automatic detection of lettuce growth traits is of great significance in modern greenhouse
cultivation. Existing methods mainly focus on capturing coarse representations from RGB or …

Средства искусственного интеллекта и технического зрения играют важную роль в
автоматическом определении стадий роста растений. Исследование направлено на …

Artificial intelligence (AI) and computer vision tools play an important role in automatically
determining plant growth stages. The study aims to analyze modern technologies for …