NIR sensors, in conjunction with advanced chemometric algorithms, have proven to be a
powerful and efficient tool for intelligent quality evaluation of sweetpotato roots throughout …

Artificial intelligence (AI) and machine learning have demonstrated the potential to provide
solutions to societal challenges, for example, automated crop diagnostics for smallholder …

The recent combination of hyperspectral imaging (HSI) and deep learning, particularly
through convolutional neural networks (CNN), offers a non-destructive and innovative …

In sweet potato and potato, sensory traits are critical for acceptance by consumers, growers,
and traders, hence underpinning the success or failure of a new cultivar. A quick analytical …

High-throughput phenotyping technologies successfully employed in plant breeding and
precision agriculture could facilitate the screening process for developing consumer …

In tunnel boring projects, wear and tear in the tooling system can have significant
consequences, such as decreased boring efficiency, heightened maintenance costs, and …

Abstract Sweetpotato, Ipomoea Batatas L., is widely considered as a staple food in many
developing countries especially in sub-Saharan Africa (SSA). It has storage roots that are …

This study introduces a comprehensive framework aimed at automating the process of
detecting yam tuber quality attributes. This is achieved through the integration of Internet of …

Crop like cassava plays a crucial role in regions facing food insecurity, serving as a primary
food source. However, the susceptibility of cassava to various diseases poses a significant …