Machine Learning for Nutrient Recovery in the Smart City Circular Economy–A Review

A Soo, L Wang, C Wang, HK Shon - Process Safety and Environmental …, 2023 - Elsevier
Urbanisation is leading to a concentration of growing city populations that contribute
significantly to economic growth, while becoming epicentres of waste generation …

[HTML][HTML] Optimization of Meat and Poultry Farm Inventory Stock Using Data Analytics for Green Supply Chain Network

R Kler, R Gangurde, S Elmirzaev… - Discrete Dynamics in …, 2022 - hindawi.com
The traditional meat and poultry farms use a fixed quantity of supply, which creates an
imbalance between demand and supply. Due to this imbalance, a huge amount is spent on …

[HTML][HTML] Use of industry 4.0 technologies to reduce and valorize seafood waste and by-products: A narrative review on current knowledge

A Hassoun, J Cropotova, H Trollman, S Jagtap… - Current Research in …, 2023 - Elsevier
Fish and other seafood products represent a valuable source of many nutrients and
micronutrients for the human diet and contribute significantly to global food security …

[HTML][HTML] Understanding gene action, combining ability, and heterosis to identify superior aromatic rice hybrids using artificial neural network

A Sunny, NR Chakraborty, A Kumar, BK Singh… - Journal of Food …, 2022 - hindawi.com
The aromatic rice represents a smaller but independent rice collection, the quality of which is
considered to be highly acceptable. Farmers are interested in growing aromatic rice due to …

[HTML][HTML] Machine Learning Integrated Multivariate Water Quality Control Framework for Prawn Harvesting from Fresh Water Ponds

G Kaur, M Braveen, S Krishnapriya, SG Wawale… - Journal of Food …, 2023 - hindawi.com
Water contamination, temperature imbalance, feed, space, and cost are key issues that
traditional fish farming encounters. The aquaculture business still confronts obstacles such …

Shelf‐life extension of Fragaria × ananassa Duch. using selenium nanoparticles synthesized from Cassia fistula Linn. leaves

A Aftab, M Ali, Z Yousaf, DN Binjawhar… - Food Science & …, 2023 - Wiley Online Library
Abstract Fragaria× ananassa Duch.(Strawberry) fruit is susceptible to postharvest diseases,
thus decrease in quality attributes, such as physiological and biochemical properties leads …

An Improved Agro Deep Learning Model for Detection of Panama Wilts Disease in Banana Leaves

R Sangeetha, J Logeshwaran, J Rocher, J Lloret - AgriEngineering, 2023 - mdpi.com
Recently, Panama wilt disease that attacks banana leaves has caused enormous economic
losses to farmers. Early detection of this disease and necessary preventive measures can …

A comprehensive review and meta-analysis of recent advances in biotechnology for plant virus research and significant accomplishments in human health and the …

S Debnath, D Seth, S Pramanik, S Adhikari… - Biotechnology and …, 2022 - Taylor & Francis
Secondary metabolites made by plants and used through their metabolic routes are today's
most reliable and cost-effective way to make pharmaceuticals and improve health. The …

[HTML][HTML] Emerging trends in the agri-food sector: Digitalisation and shift to plant-based diets

A Hassoun, F Boukid, A Pasqualone, CJ Bryant… - Current Research in …, 2022 - Elsevier
Our planet is currently facing unprecedented interconnected environmental, societal, and
economic dilemmas due to climate change, the outbreak of pandemics and wars, among …

A Review of the Applications of Artificial Intelligence in Agriculture: Prospects and Challenges in Nigeria

RR Dinrifo, AF Alonge, J Audu… - JOURNAL OF …, 2022 - jaet.com.ng
The agriculture sector faces numerous challenges including disease and pest infestation,
insufficient available water, inadequate drainage, declining labour availability and …