Morning Overview on MSN

Smarter tomato-picking robots now judge each fruit before harvesting

Tomato greenhouses are becoming test beds for a new kind of farm worker, one that does not just grab every red fruit in sight ...
IEEE

Design of a Fruit Sorting System Based on Deep Learning Models Optimized by CBAM Attention Mechanism and Its Simulation Verification in CoppeliaSim

Abstract: To address challenges in fruit sorting, such as poor classification accuracy of small samples, insufficient validation of model generalization, and inadequate integration between algorithms ...
IEEE

Coffee Adultration Detection Using NIR Spectrometry and Machine Learning

Abstract: This paper presents the application of near-infrared (NIR) spectrometry combined with machine learning techniques for the detection of coffee adulteration, particularly focusing on the ...
GitHub

ai-agriculture-circuits-and-systems/RawRipe

A comprehensive dataset of fruit images in both raw and ripe states, designed for fruit maturity recognition tasks. The dataset includes images of 10 different fruit types, enabling various ...