The fourth industrial revolution in the food industry—Part I: Industry 4.0 technologies

A Hassoun, A Aït-Kaddour… - Critical Reviews in …, 2023 - Taylor & Francis
Climate change, the growth in world population, high levels of food waste and food loss, and
the risk of new disease or pandemic outbreaks are examples of the many challenges that …

Machine learning-assisted approaches in modernized plant breeding programs

M Yoosefzadeh Najafabadi, M Hesami, M Eskandari - Genes, 2023 - mdpi.com
In the face of a growing global population, plant breeding is being used as a sustainable tool
for increasing food security. A wide range of high-throughput omics technologies have been …

Climate change challenges, plant science solutions

NA Eckardt, EA Ainsworth, RN Bahuguna… - The Plant …, 2023 - academic.oup.com
Climate change is a defining challenge of the 21st century, and this decade is a critical time
for action to mitigate the worst effects on human populations and ecosystems. Plant science …

Artificial neural networks in agriculture

S Kujawa, G Niedbała - Agriculture, 2021 - mdpi.com
Artificial neural networks are one of the most important elements of machine learning and
artificial intelligence. They are inspired by the human brain structure and function as if they …

The application of multiple linear regression and artificial neural network models for yield prediction of very early potato cultivars before harvest

M Piekutowska, G Niedbała, T Piskier, T Lenartowicz… - Agronomy, 2021 - mdpi.com
Yield forecasting is a rational and scientific way of predicting future occurrences in
agriculture—the level of production effects. Its main purpose is reducing the risk in the …

Machine learning (ML) algorithms and artificial neural network for optimizing in vitro germination and growth indices of industrial hemp (Cannabis sativa L.)

M Aasim, R Katırcı, O Akgur, B Yildirim… - Industrial Crops and …, 2022 - Elsevier
In vitro germination of hemp is challenging due to low germination and high contamination
rates. Successful establishment of in vitro sterilization is the prerequisite of plant tissue …

Selection of independent variables for crop yield prediction using artificial neural network models with remote sensing data

P Hara, M Piekutowska, G Niedbała - Land, 2021 - mdpi.com
Knowing the expected crop yield in the current growing season provides valuable
information for farmers, policy makers, and food processing plants. One of the main benefits …

Challenges in develo** cell culture media using machine learning

T Hashizume, BW Ying - Biotechnology Advances, 2024 - Elsevier
Microbial and mammalian cells are widely used in the food, pharmaceutical, and medical
industries. Develo** or optimizing culture media is essential to improve cell culture …

Machine learning: its challenges and opportunities in plant system biology

M Hesami, M Alizadeh, AMP Jones… - Applied Microbiology and …, 2022 - Springer
Sequencing technologies are evolving at a rapid pace, enabling the generation of massive
amounts of data in multiple dimensions (eg, genomics, epigenomics, transcriptomic …

Modeling and optimizing callus growth and development in Cannabis sativa using random forest and support vector machine in combination with a genetic algorithm

M Hesami, AMP Jones - Applied Microbiology and Biotechnology, 2021 - Springer
Plant callus is generally considered to be a mass of undifferentiated cells and can be used
for secondary metabolite production, physiological studies, and plant transformation …