Hyperspectral sensor adaptability in precision agriculture to digital images is still at its
nascent stage. Hyperspectral imaging (HSI) is data rich in solving agricultural problems like …

Hyperspectral images can capture the spectral characteristics of surfaces and objects,
providing a 2-D spacial component to the spectral profiles found in a given scene. There are …

Integrating artificial intelligence with food category recognition has been a field of interest for
research for the past few decades. It is potentially one of the next steps in revolutionizing …

Emerging issues related to food quality include the need to ensure food safety, detect
adulteration and enable traceability throughout the food supply chain. Such issues must be …

Efficient and automated data acquisition techniques, as well as intelligent and accurate data
processing and analysis techniques, are essential for the advancement of precision …

The egg is considered one of the best sources of dietary protein, and has an important role
in human growth and development. With the increase in the world's population, per capita …

Artificial Intelligence (AI) techniques have evolved into practical, fast and effective tools in
combination with detecting devices for quality assessment, particularly in adulteration and …

Abstract Wheat (Triticum aestivum L.), as one of the three major food crops, predominantly
thrives in arid and semi-arid regions of the world, and it is particularly vulnerable to various …

Highlights•AI can aid the improvement of flavor and nutrition in horticultural
crops.•Development of new AI/statistical methods target inference and prediction …

Simple Summary The future of plant biology, particularly rapidly advancing precision
horticulture and predictive breeding, will require the transformation of huge volumes of multi …