Computational and Machine Learning Methods for CO2 Capture Using Metal–Organic Frameworks DOI
Hossein Mashhadimoslem, Mohammad Ali Abdol, Peyman Karimi

et al.

ACS Nano, Journal Year: 2024, Volume and Issue: 18(35), P. 23842 - 23875

Published: Aug. 22, 2024

Machine learning (ML) using data sets of atomic and molecular force fields (FFs) has made significant progress provided benefits in the chemistry material science. This work examines interactions between materials computational science at scales for metal-organic framework (MOF) adsorbent development toward carbon dioxide (CO

Language: Английский

Technologies and perspectives for achieving carbon neutrality DOI
Fang Wang, Jean Damascene Harindintwali, Zhizhang Yuan

et al.

The Innovation, Journal Year: 2021, Volume and Issue: 2(4), P. 100180 - 100180

Published: Oct. 30, 2021

Language: Английский

Citations

1000

Understanding the potential applications of Artificial Intelligence in Agriculture Sector DOI Creative Commons
Mohd Javaid, Abid Haleem, Ibrahim Haleem Khan

et al.

Advanced Agrochem, Journal Year: 2022, Volume and Issue: 2(1), P. 15 - 30

Published: Oct. 28, 2022

Artificial Intelligence (AI) has been extensively applied in farming recently. To cultivate healthier crops, manage pests, monitor soil and growing conditions, analyse data for farmers, enhance other management activities of the food supply chain, agriculture sector is turning to AI technology. It makes it challenging farmers choose ideal time plant seeds. helps optimum seed a particular weather scenario. also offers on forecasts. AI-powered solutions will help produce more with fewer resources, increase crop quality, hasten product reach market. aids understanding qualities. by suggesting nutrients they should apply quality soil. can optimal their Intelligent equipment calculate spacing between seeds maximum planting depth. An system known as health monitoring provides information crops that need be given yield quantity. This study identifies analyses relevant articles Agriculture. Using AI, now access advanced analytics tools foster better farming, improve efficiencies, reduce waste biofuel production while minimising negative environmental impacts. Machine Learning (ML) have transformed various industries, wave reached sector. Companies are developing several technologies make farmers' easier. Hyperspectral imaging 3D laser scanning leading AI-based ensure health. These collect precise greater volume analysis. paper studied its The process Agriculture some parameters monitored briefed. Finally, we identified discussed significant applications agriculture.

Language: Английский

Citations

395

Nanomaterials and nanotechnology for the delivery of agrochemicals: strategies towards sustainable agriculture DOI Creative Commons
Changcheng An, Changjiao Sun,

Ningjun Li

et al.

Journal of Nanobiotechnology, Journal Year: 2022, Volume and Issue: 20(1)

Published: Jan. 4, 2022

Nanomaterials (NMs) have received considerable attention in the field of agrochemicals due to their special properties, such as small particle size, surface structure, solubility and chemical composition. The application NMs nanotechnology dramatically overcomes defects conventional agrochemicals, including low bioavailability, easy photolysis, organic solvent pollution, etc. In this review, we describe advances pesticides fertilizers, which are two earliest most researched areas agrochemicals. Besides, article concerns with new applications other bio-pesticides, nucleic acid pesticides, plant growth regulators (PGRs), pheromone. We also discuss challenges industrialization trend Constructing nano-agrochemical delivery system via facilitates improvement stability dispersion active ingredients, promotes precise reduces residual pollution decreases labor cost different scenarios, is potential maintain sustainability agricultural systems improve food security by increasing efficacy inputs.

Language: Английский

Citations

299

Artificial intelligence-based solutions for climate change: a review DOI Creative Commons
Lin Chen, Zhonghao Chen, Yubing Zhang

et al.

Environmental Chemistry Letters, Journal Year: 2023, Volume and Issue: 21(5), P. 2525 - 2557

Published: June 13, 2023

Abstract Climate change is a major threat already causing system damage to urban and natural systems, inducing global economic losses of over $500 billion. These issues may be partly solved by artificial intelligence because integrates internet resources make prompt suggestions based on accurate climate predictions. Here we review recent research applications in mitigating the adverse effects change, with focus energy efficiency, carbon sequestration storage, weather renewable forecasting, grid management, building design, transportation, precision agriculture, industrial processes, reducing deforestation, resilient cities. We found that enhancing efficiency can significantly contribute impact change. Smart manufacturing reduce consumption, waste, emissions 30–50% and, particular, consumption buildings 30–50%. About 70% gas industry utilizes technologies enhance accuracy reliability forecasts. Combining smart grids optimize power thereby electricity bills 10–20%. Intelligent transportation systems dioxide approximately 60%. Moreover, management design cities through application further promote sustainability.

Language: Английский

Citations

177

Nanofertilizers: Types, Delivery and Advantages in Agricultural Sustainability DOI Creative Commons
Anurag Yadav, Kusum Yadav, Kamel A. Abd–Elsalam

et al.

Agrochemicals, Journal Year: 2023, Volume and Issue: 2(2), P. 296 - 336

Published: June 9, 2023

In an alarming tale of agricultural excess, the relentless overuse chemical fertilizers in modern farming methods have wreaked havoc on once-fertile soil, mercilessly depleting its vital nutrients while inflicting irreparable harm delicate balance surrounding ecosystem. The excessive use such leaves residue products, pollutes environment, upsets agrarian ecosystems, and lowers soil quality. Furthermore, a significant proportion nutrient content, including nitrogen, phosphorus, potassium, is lost from (50–70%) before being utilized. Nanofertilizers, other hand, nanoparticles to control release nutrients, making them more efficient cost-effective than traditional fertilizers. Nanofertilizers comprise one or plant within where at least 50% particles are smaller 100 nanometers. Carbon nanotubes, graphene, quantum dots some examples types nanomaterials used production nanofertilizers. new generation that utilize advanced nanotechnology provide sustainable method fertilizing crops. They designed deliver controlled manner, ensuring gradually released over extended period, thus providing steady supply essential elements plants. controlled-release system fertilizers, as it reduces need for frequent application amount fertilizer. These high surface area-to-volume ratio, ideal holding releasing nutrients. Naturally occurring found various sources, volcanic ash, ocean, biological matter viruses dust. However, regarding large-scale production, relying solely naturally may not be sufficient practical. agriculture, has been primarily increase crop minimizing losses activating defense mechanisms against pests, insects, environmental challenges. nanofertilizers can reduce runoff leaching into improving sustainability. also improve fertilizer efficiency, leading higher yields reducing overall cost application. especially beneficial areas inefficient ineffective. way fertilize crops impact product promising technology help meet increasing demand food Currently, face limitations, costs potential safety concerns due nanomaterials, further research needed fully understand their long-term effects health, growth, environment.

Language: Английский

Citations

164

Demystifying Supervised Learning in Healthcare 4.0: A New Reality of Transforming Diagnostic Medicine DOI Creative Commons
Sudipta Roy, Tanushree Meena, Se‐Jung Lim

et al.

Diagnostics, Journal Year: 2022, Volume and Issue: 12(10), P. 2549 - 2549

Published: Oct. 20, 2022

The global healthcare sector continues to grow rapidly and is reflected as one of the fastest-growing sectors in fourth industrial revolution (4.0). majority industry still uses labor-intensive, time-consuming, error-prone traditional, manual, manpower-based methods. This review addresses current paradigm, potential for new scientific discoveries, technological state preparation, supervised machine learning (SML) prospects various sectors, ethical issues. effectiveness innovation disease diagnosis, personalized medicine, clinical trials, non-invasive image analysis, drug discovery, patient care services, remote monitoring, hospital data, nanotechnology learning-based automation along with requirement explainable artificial intelligence (AI) are evaluated. In order understand architecture treatment, a thorough study medical imaging analysis from technical point view presented. also represents thinking developments that will push boundaries increase opportunity through AI SML near future. Nowadays, SML-based applications require lot data quality awareness data-heavy, knowledge management paramount. biomedical needs skills, consciousness data-intensive study, knowledge-centric health system. As result, merits, demerits, precautions need take ethics other effects into consideration. overall insight this paper help researchers academia address future research be discussed on sectors.

Language: Английский

Citations

108

Artificial Intelligence: Implications for the Agri-Food Sector DOI Creative Commons
Akriti Taneja,

Gayathri Nair,

Manisha Joshi

et al.

Agronomy, Journal Year: 2023, Volume and Issue: 13(5), P. 1397 - 1397

Published: May 18, 2023

Artificial intelligence (AI) involves the development of algorithms and computational models that enable machines to process analyze large amounts data, identify patterns relationships, make predictions or decisions based on analysis. AI has become increasingly pervasive across a wide range industries sectors, with healthcare, finance, transportation, manufacturing, retail, education, agriculture are few examples mention. As technology continues advance, it is expected have an even greater impact in future. For instance, being used agri-food sector improve productivity, efficiency, sustainability. It potential revolutionize several ways, including but not limited precision agriculture, crop monitoring, predictive analytics, supply chain optimization, food processing, quality control, personalized nutrition, safety. This review emphasizes how recent developments transformed by improving reducing waste, enhancing safety quality, providing particular examples. Furthermore, challenges, limitations, future prospects field summarized.

Language: Английский

Citations

98

Biopolymer-based nanocarriers for sustained release of agrochemicals: A review on materials and social science perspectives for a sustainable future of agri- and horticulture DOI Creative Commons
Thiago O. Machado,

Justin Grabow,

Cláudia Sayer

et al.

Advances in Colloid and Interface Science, Journal Year: 2022, Volume and Issue: 303, P. 102645 - 102645

Published: March 21, 2022

Devastating plant diseases and soil depletion rationalize an extensive use of agrochemicals to secure the food production worldwide. The sustained release fertilizers pesticides in agriculture is a promising solution eco-toxicological impacts it might reduce amount increase effectiveness administration field. This review article focusses on carriers with diameters below 1 μm, such as capsules, spheres, tubes micelles that promote actives. Biopolymer nanocarriers represent potentially environmentally friendly alternative due their renewable origin biodegradability, which prevents formation microplastics. social aspects, economic potential, success commercialization biopolymer based are influenced by controversial nature nanotechnology depend case. Nanotechnology's enormous innovative power only able unfold its potential limit effects climate change counteract current environmental developments if perceived risks understood mitigated.

Language: Английский

Citations

96

Emerging Frontiers in Nanotechnology for Precision Agriculture: Advancements, Hurdles and Prospects DOI Creative Commons
Anurag Yadav, Kusum Yadav, Rumana Ahmad

et al.

Agrochemicals, Journal Year: 2023, Volume and Issue: 2(2), P. 220 - 256

Published: May 31, 2023

This review article provides an extensive overview of the emerging frontiers nanotechnology in precision agriculture, highlighting recent advancements, hurdles, and prospects. The benefits this field include development advanced nanomaterials for enhanced seed germination micronutrient supply, along with alleviation biotic abiotic stress. Further, nanotechnology-based fertilizers pesticides can be delivered lower dosages, which reduces environmental impacts human health hazards. Another significant advantage lies introducing cutting-edge nanodiagnostic systems nanobiosensors that monitor soil quality parameters, plant diseases, stress, all are critical agriculture. Additionally, technology has demonstrated potential reducing agro-waste, synthesizing high-value products, using methods devices tagging, monitoring, tracking agroproducts. Alongside these developments, cloud computing smartphone-based biosensors have emerged as crucial data collection analysis tools. Finally, delves into economic, legal, social, risk implications must thoroughly examined technology’s widespread adoption.

Language: Английский

Citations

93

Recent Progress in Micro- and Nanotechnology-Enabled Sensors for Biomedical and Environmental Challenges DOI Creative Commons
Francisco J. Tovar‐Lopez

Sensors, Journal Year: 2023, Volume and Issue: 23(12), P. 5406 - 5406

Published: June 7, 2023

Micro- and nanotechnology-enabled sensors have made remarkable advancements in the fields of biomedicine environment, enabling sensitive selective detection quantification diverse analytes. In biomedicine, these facilitated disease diagnosis, drug discovery, point-of-care devices. environmental monitoring, they played a crucial role assessing air, water, soil quality, as well ensured food safety. Despite notable progress, numerous challenges persist. This review article addresses recent developments micro- for biomedical challenges, focusing on enhancing basic sensing techniques through micro/nanotechnology. Additionally, it explores applications addressing current both domains. The concludes by emphasizing need further research to expand capabilities sensors/devices, enhance sensitivity selectivity, integrate wireless communication energy-harvesting technologies, optimize sample preparation, material selection, automated components sensor design, fabrication, characterization.

Language: Английский

Citations

88