The strategic applications of natural polymer nanocomposites in food packaging and agriculture: Chances, challenges, and consumers' perception

M Wypij, J Trzcińska-Wencel, P Golińska… - Frontiers in …, 2023 - frontiersin.org
Natural polymer-based nanocomposites have received significant attention in both scientific
and industrial research in recent years. They can help to eliminate the consequences of …

Biopolymer-based slow/controlled-release fertilizer (SRF/CRF): Nutrient release mechanism and agricultural sustainability

A Firmanda, F Fahma, K Syamsu, M Mahardika… - Journal of …, 2024 - Elsevier
Excess fertilizer released into the environment from low-efficiency fertilizers has created a
global impact on sustainable agriculture, including environmental, economic, and social …

[HTML][HTML] A review of computational approaches used in the modelling, design, and manufacturing of biodegradable and biobased polymers

BG Laycock, CM Chan, PJ Halley - Progress in Polymer Science, 2024 - Elsevier
The design and manufacture of new biodegradable and bioderived polymeric materials has
traditionally taken place through experimentation and material characterisation. However …

Recent trends and technologies for reduced environmental impacts of fertilizers: A review

DDC Krein, M Rosseto, F Cemin, LA Massuda… - International Journal of …, 2023 - Springer
Sustainable and at the same time high-yield agriculture are among the recent challenges for
this sector. The development of fertilizers that can be better used by plants, as well as the …

Deep learning aided multi-objective optimization and multi-criteria decision making in thermal cracking process for olefines production

SR Nabavi, MJ Jafari, Z Wang - Journal of the Taiwan Institute of Chemical …, 2023 - Elsevier
Background Multilayer perceptron (MLP) aided multi-objective particle swarm optimization
algorithm (MOPSO) is employed in the present article to optimize the liquefied petroleum …

Biochar-based controlled release nitrogen fertilizer coated with polylactic acid

RI Rubel, L Wei - Journal of Polymers and the Environment, 2022 - Springer
Conventional nitrogen (N) fertilizers tend to dissolve in the water quickly without allowing
sufficient time for the plants to uptake the N nutrient. The consequence is low N use …

[HTML][HTML] Machine Learning-Based Process Optimization in Biopolymer Manufacturing: A Review

I Malashin, D Martysyuk, V Tynchenko… - …, 2024 - pmc.ncbi.nlm.nih.gov
The integration of machine learning (ML) into material manufacturing has driven
advancements in optimizing biopolymer production processes. ML techniques, applied …

Biopolymeric Nanoparticles for Agricultural Applications: Note from Editors

AF Hashim, FK Ahmed, KA Abd-Elsalam… - Biopolymeric …, 2024 - Springer
Agriculture sector faces a severe challenge related to sustainability, food safety, increasing
production, and the depletion of natural resources. Biopolymer nanoparticles are an …

Applications of Machine Learning Algorithms in Nitrogen Fertilizer Management of Triticale

N GÜLMEZOĞLU, I Kutlu… - Journal of Scientific and …, 2023 - avesis.ogu.edu.tr
In this study, a new classification technique is proposed to distinguish the appropriate one
from four different nitrogen (N) fertilizer doses (0, 40, 80, and 160 kg ha-1) using six triticale …

Experimental and Machine Learning Hybrid Strategy for Optimizing Nitrogen Release from Chitosan-Functionalized Biogenic Silica Nanoparticle-Coated Urea …

M Saleem - 2024 - repositories.nust.edu.pk
The current world's population increased three times than it was in the mid of the 20th
century. The dramatic rise in population has imposed a tremendous load on agricultural …