Artificial Intelligence (AI) technologies have been powerful solutions used to improve food
yield, quality, and nutrition, increase safety and traceability while decreasing resource …

Machine learning assists with food process optimization techniques by develo** a model
to predict the optimal solution for given input data. Machine learning includes unsupervised …

The occurrence of apple diseases has dramatically affected the quality and yield of apples.
Disease monitoring is an important measure to ensure the healthy development of the apple …

Policymaking and administration of national tactics of action for food security rely heavily on
advances in models for accurate estimation of food output. In several fields, including food …

Grey wolf optimization (GWO) is a widely used meta‐heuristic method. It has limited
searching potential when solving the majority of function optimization problems. This paper …

Many research studies used statistics to predict food production, distribution and price
trends. Researchers used statistical inference for discovering the relationships of data to …

In this study, the effect of different photosynthetic photon flux density (PPFD) provided by
LEDs (Light Emitting Diodes) and photoperiod on biomass production, morphological traits …

The paper analyzes losses during the development of low-value water-soluble ore deposits.
The importance of development systems with backfill is shown. The use of industrial wastes …

A fundamental issue in the hydraulics of movable bed channels is the measurement of
friction factor (λ), which represents the head loss because of hydraulic resistance. The …

In recent years, a range of novel and pseudonovel optimization algorithms has been
proposed for solving engineering problems. Swarm intelligence optimization algorithms …