Empowering Agriculture With Conversational AI DOI
Mrignainy Kansal, Pancham Singh,

M. Srivastava

и другие.

Advances in environmental engineering and green technologies book series, Год журнала: 2023, Номер unknown, С. 210 - 227

Опубликована: Авг. 18, 2023

Conversational AI is the most trending technology in recent years. It's not just a buzzword anymore, it here to stay and will continue grow as more people become aware of its benefits. This can greatly help farmers other agricultural workers by giving them information. By leveraging chatbots, virtual assistants, voice-based interfaces, addresses challenges accessing timely accurate It enables early detection crop diseases, provides real-time market prices, weather forecasts, aids soil health monitoring. Furthermore, assists farm equipment maintenance, streamlines access government schemes, fosters knowledge sharing among farmers. Additionally, be utilized for data collection analysis, supporting precision agriculture practices. The integration ML, analytics, IoT devices enhances accuracy insights derived from collected data. Its transformative potential contributes sustainable growth agriculture, ensuring food security empowering prosperous future.

Язык: Английский

Digital transformation in the agri-food industry: recent applications and the role of the COVID-19 pandemic DOI Creative Commons
Abdo Hassoun, H.J.P. Marvin, Yamine Bouzembrak

и другие.

Frontiers in Sustainable Food Systems, Год журнала: 2023, Номер 7

Опубликована: Июль 18, 2023

Providing food has become more complex because of climate change and other environmental societal stressors, such as political instability, the growth in world population, outbreaks new diseases, especially COVID-19 pandemic. In response to these challenges, agri-food industry increased its efforts shift using digital tools advanced technologies. The transition toward been part fourth industrial revolution (called Industry 4.0) innovations that have are reshaping most industries. This literature review discusses potential implementing technologies industry, focusing heavily on role pandemic fostering adoption greater digitalization supply chains. Examples use for various applications, barriers challenges will be highlighted. trend solutions gained momentum since advent 4.0 implementations accelerated by outbreak Important technology enablers high mitigating negative effects both current global health crisis systems include artificial intelligence, big data, Internet Things, blockchain, smart sensors, robotics, twins, virtual augmented reality. However, much remains done fully harness power achieve widespread implementation agriculture

Язык: Английский

Процитировано

45

Food for future: Exploring cutting-edge technology and practices in vertical farm DOI Creative Commons
Swathi Erekath, Holger Seidlitz, Monika Schreiner

и другие.

Sustainable Cities and Society, Год журнала: 2024, Номер 106, С. 105357 - 105357

Опубликована: Март 18, 2024

With the growing urbanized population, vertical farming becomes indispensable in eradicating hunger and ensuring food security for future. Food has become a major challenge future owing to scarcity of land, rising global urbanization, polluted soil water resources. In this scenario, as an innovative production technology caters increased productivity with limited resources improved carbon footprint. The review begins brief introduction concept farming, its opportunities implications on economy, environment, society whole, following in-depth qualitative analysis cutting-edge innovations/technologies are presented detail. Contrary numerous research focusing mere economic viability statistical analysis, aim is introduce real technologies that address challenges farms such lack technical skills or energy requirements. recent advances includes construction outer structure shelves using light weight transparent polymer composites, engineered tunable LEDs lightings, 3-D printed recyclable substrates, AI-integrated IoTs environment control, harvesting materials renewable storage etc. Such material innovations inclusion AI robotics transform automated into 'state art' agricultural technology. Production shelf fabricated UV cured GBOV-glass fiber composite 60% transparency can overcome limitation, corrosion, obstructions associated conventional steel shelves. Replacing non-renewable fossil fuels harvested dots, florescent materials, perovskite solar cells recommended minimize high capital investments well reduce environmental impact. Smart phase change thermoresponsive windows control amount expended whereas smart substrate promotes resource management. Application newest facilitates precise early pest detection, automation processes, data-driven decision making precision agriculture. short, utilizing modern science enhanced productivity, quality, reduced cost, management sustainability. Hence, sustainable promoting circularity have potential burgeoning

Язык: Английский

Процитировано

20

New Generation Sustainable Technologies for Soilless Vegetable Production DOI Creative Commons
Fernando Fuentes-Peñailillo,

Karen Gutter,

Ricardo Vega

и другие.

Horticulturae, Год журнала: 2024, Номер 10(1), С. 49 - 49

Опубликована: Янв. 4, 2024

This review article conducts an in-depth analysis of the role next-generation technologies in soilless vegetable production, highlighting their groundbreaking potential to revolutionize yield, efficiency, and sustainability. These technologies, such as AI-driven monitoring systems precision farming methods, offer unparalleled accuracy critical variables nutrient concentrations pH levels. However, paper also addresses multifaceted challenges that hinder widespread adoption these technologies. The high initial investment costs pose a significant barrier, particularly for small- medium-scale farmers, thereby risking creation technological divide industry. Additionally, technical complexity demands specialized expertise, potentially exacerbating knowledge gaps among farmers. Other considerations are scrutinized, including data privacy concerns job displacement due automation. Regulatory challenges, international trade regulations policy frameworks, discussed, they may need revision accommodate new concludes by emphasizing while sustainable transformative benefits, broad is constrained complex interplay financial, technical, regulatory, social factors.

Язык: Английский

Процитировано

19

AI and Related Technologies in the Fields of Smart Agriculture: A Review DOI Creative Commons

Fotis Assimakopoulos,

Costas Vassilakis, Dionisis Margaris

и другие.

Information, Год журнала: 2025, Номер 16(2), С. 100 - 100

Опубликована: Фев. 2, 2025

The integration of cutting-edge technologies—such as the Internet Things (IoT), artificial intelligence (AI), machine learning (ML), and various emerging technologies—is revolutionizing agricultural practices, enhancing productivity, sustainability, efficiency. objective this study is to review literature regarding development evolution AI well other technologies in fields Agriculture they are developed transformed by integrating above technologies. areas examined open field smart farming, vertical indoor zero waste agriculture, precision livestock greenhouses, regenerative agriculture. This paper links current research, technological innovations, case studies present a comprehensive these being context for benefit farmers consumers general. By exploring practical applications future perspectives, work aims provide valuable insights address global food security challenges, minimize environmental impacts, support sustainable goals through application new

Язык: Английский

Процитировано

4

Technological Innovations in Urban and Peri-Urban Agriculture: Pathways to Sustainable Food Systems in Metropolises DOI Creative Commons

Shulang Fei,

Rui Wu,

He Liu

и другие.

Horticulturae, Год журнала: 2025, Номер 11(2), С. 212 - 212

Опубликована: Фев. 17, 2025

Metropolitan areas increasingly confront complex challenges related to food security, social inequality, environmental degradation, and resource scarcity, exacerbated by rapid urbanization, climate change, the reliance on extended, fragile supply chains. Urban peri-urban agriculture (UPA) is recognized as a promising approach mitigate these issues. For example, it enhances security nutrition strengthening local systems, improves livelihoods providing employment income for residents, promotes sustainability through creation of greening spaces reduction miles. However, full potential UPA remains constrained various technological, economic, barriers, such limited growing spaces, lack land tenure low economic efficiency, insufficient public awareness acceptance. Given that technological innovations are critical in overcoming barriers maximizing positive impacts UPA, this review provides state-of-the-art overview advanced technologies tools applicable aiming inform how can be better enabled enhance UPA’s contributions sustainable urban systems. The begins defining categorizing its forms, exploring multifunctional roles within contexts. It then presents thorough analysis range serve specific purposes, including productivity product quality improvement, space utilization optimization, recycling, use management. Furthermore, evaluates current faced throughout stages research development (R&D), dissemination extension, application commercialization, employing an analytical framework adapted from Technology Life Cycle theories. In conclusion, emphasizes crucial relevant play transforming systems environments. proposes four key recommendations: (1) enhancing funding mechanisms fostering interdisciplinary collaboration R&D, (2) technology (3) promoting feasibility market integration business models, (4) establishing supportive environments among all stakeholders innovation process. These targeted strategies essential scaling technologies, thereby sustainability, socio-economic resilience metropolitan areas.

Язык: Английский

Процитировано

3

Technological Trends and Engineering Issues on Vertical Farms: A Review DOI Creative Commons
Md Shaha Nur Kabir, Md Nasim Reza, Milon Chowdhury

и другие.

Horticulturae, Год журнала: 2023, Номер 9(11), С. 1229 - 1229

Опубликована: Ноя. 15, 2023

Vertical farming has emerged as a promising solution to cope with increasing food demand, urbanization pressure, and limited resources ensure sustainable year-round urban agriculture. The aim of this review was investigate the evolving technological landscape engineering considerations, focus on innovative developments future prospects. This paper presents trends in vertical farming, covering advances sensing technologies, monitoring control systems, unmanned systems. It also highlights growing role artificial intelligence (AI) contributing data-driven decision-making optimization farms. A global perspective is presented, including current status advanced across regions like Asia, USA, Europe. Innovative concepts upcoming enterprises that could shape agriculture are explored. Additionally, challenges prospects addressed, focusing crop production limitations, environmental sustainability, economic feasibility, contributions security. provides guidance state advancements, trends, challenges, prospects, offering insights into roles researchers, practitioners, policymakers advancing

Язык: Английский

Процитировано

43

Fostering Agricultural Transformation through AI: An Open-Source AI Architecture Exploiting the MLOps Paradigm DOI Creative Commons
Antonio Carlos Cob-Parro, Yerhard Lalangui, Raquel Lazcano

и другие.

Agronomy, Год журнала: 2024, Номер 14(2), С. 259 - 259

Опубликована: Янв. 25, 2024

As the global population is expected to reach 10 billion by 2050, agricultural sector faces challenge of achieving an increase 60% in food production without using much more land. This paper explores potential Artificial Intelligence (AI) bridge this “land gap” and mitigate environmental implications land use. Typically, problem with AI such sectors need for specific infrastructure enable developers design ML engineers deploy these AIs. It is, therefore, essential develop dedicated infrastructures apply models that optimize resource extraction sector. article presents execution development AI-based open-source technology, has been optimized tuned environments. By embracing MLOps culture, automation model processes promoted, ensuring efficient workflows, fostering collaboration among multidisciplinary teams, promoting rapid deployment AI-driven solutions adaptable changing field conditions. The proposed architecture integrates state-of-the-art tools cover entire lifecycle, enabling workflows data scientists engineers. Considering nature field, it also supports diverse IoT protocols, communication between sensors running multiple simultaneously, optimizing hardware utilization. Surveys specifically designed conducted professionals related show promising results. These findings demonstrate helps close gap engineers, easing them simplifying their work through whole lifecycle.

Язык: Английский

Процитировано

16

Empowering vertical farming through IoT and AI-Driven technologies: A comprehensive review DOI Creative Commons
Ajit Singh Rathor,

Sushabhan Choudhury,

Abhinav Sharma

и другие.

Heliyon, Год журнала: 2024, Номер 10(15), С. e34998 - e34998

Опубликована: Июль 23, 2024

The substantial increase in the human population dramatically strains food supplies. Farmers need healthy soil and natural minerals for traditional farming, production takes a little longer time. soil-free farming method known as vertical (VF) requires small land consumes very amount of water than conventional soil-dependent techniques. With modern technologies like hydroponics, aeroponics, aquaponics, notion VF appears to have promising future urban areas where is expensive scarce. faces difficulty simultaneous monitoring multiple indicators, nutrition advice, plant diagnosis systems. However, these issues can be resolved by implementing current technical advancements artificial intelligence (AI)-based control techniques such machine learning (ML), deep (DL), internet things (IoT), image processing well computer vision. This article presents thorough analysis ML IoT applications system. on which attention concentrated include disease detection, crop yield prediction, nutrition, irrigation management. In order predict diseases, vision technique investigated view classification distinct collections images. also illustrates IoT-based systems that raise product quality over long term. Assessment evaluation knowledge-based system been outlined with potential outcomes, advantages, limitations

Язык: Английский

Процитировано

16

AI Vision and Machine Learning for Enhanced Automation in Food Industry: A Systematic Review DOI
D. N. Saha, Mrutyunjay Padhiary, Naveen Chandrakar

и другие.

Food and Humanity, Год журнала: 2025, Номер unknown, С. 100587 - 100587

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

1

Monitoring Root and Shoot Characteristics for the Sustainable Growth of Barley Using an IoT-Enabled Hydroponic System and AquaCrop Simulator DOI Open Access

Monica Dutta,

Deepali Gupta, Yasir Javed

и другие.

Sustainability, Год журнала: 2023, Номер 15(5), С. 4396 - 4396

Опубликована: Март 1, 2023

Vertical farming methods are gaining importance in the current era of urbanization and industrialization 5.0. These enhance sustainability by consuming less space reducing carbon emissions greenhouse gas emissions. The Green Internet Things (G-IoT) offers greater environmental switching to a dormant mode while not use, thereby energy. Each method has different effect on shoot root growth plants. Thus, dedicated must be identified for each crop according type under consideration. This leads need compare analyze as well trends crops cultivation mediums, using methods, identifying most suitable crop. A comparative analysis barley green IoT-embedded hydroponics substrate shown that exhibits two times more than cultivation. Furthermore, results were verified against obtained from simulator, which confirmed hydroponic produced year-round qualitative product with 17.112 tons biomass 8.556 dry yield.

Язык: Английский

Процитировано

22