Machine Learning for Nutrient Recovery in the Smart City Circular Economy–A Review
Urbanisation is leading to a concentration of growing city populations that contribute
significantly to economic growth, while becoming epicentres of waste generation …
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
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 …
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
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 …
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
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 …
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 …
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 …
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
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 …
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 …
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
Our planet is currently facing unprecedented interconnected environmental, societal, and
economic dilemmas due to climate change, the outbreak of pandemics and wars, among …
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
The agriculture sector faces numerous challenges including disease and pest infestation,
insufficient available water, inadequate drainage, declining labour availability and …
insufficient available water, inadequate drainage, declining labour availability and …