Remote Sensing for Agriculture in the Era of Industry 5.0—A Survey

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Год журнала: 2024, Номер 17, С. 5920 - 5945

Опубликована: Янв. 1, 2024

Agriculture can be regarded as the backbone of human civilization. As technology evolved, synergy between agriculture and remote sensing has brought about a paradigm shift, thereby entirely revolutionizing traditional agricultural practices. Nevertheless, adoption technologies in face various challenges terms limited spatial temporal coverage, high cloud cover, low data quality so on. Industry 5.0 marks new era industrial revolution, where humans machines collaborate closely, leveraging their distinct capabilities, enhancing decision making sustainability resilience. This paper provides comprehensive survey on related aspects dealing with practices (I5.0) era. We also elaborately discuss applications pertaining to I5.0- enabled for agriculture. Finally, we several issues integration I5.0 sensing. offers valuable insights into current state, challenges, potential advancements principles agriculture, thus paving way future research, development, implementation strategies this domain.

Язык: Английский

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A Systematic Review of Geographic Information Systems (GIS) in Agriculture for Evidence-Based Decision Making and Sustainability

Global Sustainability Research, Год журнала: 2024, Номер 3(1), С. 1 - 24

Опубликована: Янв. 7, 2024

The aim of this study was to consolidate current information on the utilization Geographic Information Systems (GIS) and Remote Sensing (RS) in agricultural sector, with a focus their role promoting evidence-based policies practices enhance sustainability. Additionally, review sought identify challenges hindering widespread adoption GIS RS applications, particularly low- middle-income nations. This employed methodology systematic literature review. findings indicate that technology sector has experienced notable increase over past few years. primary areas use for have been identified encompass crop yield estimation, assessment soil fertility, monitoring cropping patterns, evaluation drought conditions, detection management pests diseases, implementation precision agriculture techniques, fertilizer weed control. possesses capacity augment sustainability by incorporating spatial aspect into policies. Furthermore, potential facilitating decision making is expanding. Given escalating peril climate change food security, there exists heightened imperative include policy formulation decision-making processes practices. might be beneficial informing development effectively integrate sustainable climate-smart agriculture.

Язык: Английский

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Promoting the Transition towards Agriculture 4.0: A Systematic Literature Review on Drivers and Barriers

Sustainability, Год журнала: 2024, Номер 16(6), С. 2425 - 2425

Опубликована: Март 14, 2024

In the modern era, imperative of digitalisation to enhance competitiveness spans various sectors, with agriculture being no exception. Agriculture 4.0, strategically positioned address challenges like climate change, food security, and resource preservation, holds potential increase productivity, profitability, sustainability in agriculture. Despite global accessibility digital technologies, their adoption within sector, especially among small medium-sized farms, encounters obstacles. Realising full 4.0 requires understanding factors influencing technology adoption. To this, study conducts a systematic literature review using PRISMA method, focusing on identifying primary drivers barriers associated implementation technologies. The is complemented by network analysis identified barriers. A total 42 articles from 2011 2023, sourced Scopus database, are examined. Individual farm-related play crucial role driving smart farming along social trust influence. Economic constraints lack infrastructure, such as internet access, emerge significant can inform development strategies promote transition 4.0. Farmers stand benefit insights into advantages, required skills, challenges, aiding informed decision-making

Язык: Английский

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A Cross-Sectional Analysis of the Relationship between Digital Technology Use and Agricultural Productivity in EU Countries

Agriculture, Год журнала: 2024, Номер 14(4), С. 519 - 519

Опубликована: Март 25, 2024

Amidst the rapid evolution of digital technologies and their prospective implications for agricultural productivity, farmers are increasingly turning to Agriculture 4.0. As digitization permeates every facet agriculture, potential boosting productivity while ensuring sustainability resilience becomes tangible. The objective this study is understand how adoption influences within diverse socioeconomic landscapes EU nations. research aims address questions concerning impact technology use on across countries. This employs a robust analytical framework combining equation modeling (SEM), artificial neural networks, cluster analysis. SEM analysis reveals significant associations between related total labor force Moreover, outlines distinct clusters member states distinguished by varying degrees incorporation corresponding emphasizing contexts that influence these associations. These findings underscore significance embracing as catalyst enhancing Future could focus devising strategies promote widespread in agriculture states, longitudinal analyses offer insights into dynamic relationship output, informing policy interventions.

Язык: Английский

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Digitalisation in agriculture: A scoping review of technologies in practice, challenges, and opportunities for smallholder farmers in sub-saharan africa

Journal of Agriculture and Food Research, Год журнала: 2024, Номер 18, С. 101286 - 101286

Опубликована: Июль 9, 2024

Digitalisation in agriculture is transforming the way farming practised worldwide, and its potential benefits for smallholder farmers sub-Saharan Africa (SSA) are particularly promising. Yet, scientific evidence on digital technologies utilised by food producers SSA associated challenges still needs improvement. This review attempts to provide a thorough overview of currently being employed while also exploring opportunities. Through systematic literature search, 27 relevant studies were analysed identify region-wise current technologies, challenges, Results show that various employed, including extension services marketing agricultural products. These improve access information markets enhance productivity. However, hinder widespread adoption. Limited internet connectivity, low literacy, inadequate infrastructure, affordability issues impede progress. Gender disparities further limit equitable distribution digitalisation benefits. Despite these significant opportunities arise from adopting technologies. The advantages market access, better decision-making capabilities, increased income livelihoods. offers transformative possibilities SSA. Overcoming barriers such as limited connectivity literacy crucial. By harnessing can offer, livelihoods be uplifted, contributing growth

Язык: Английский

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

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

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A standalone photovoltaic/battery energy-powered water quality monitoring system based on narrowband internet of things for aquaculture: Design and implementation

Smart Agricultural Technology, Год журнала: 2022, Номер 3, С. 100072 - 100072

Опубликована: Май 24, 2022

This study presents a standalone photovoltaic (PV)/battery energy storage (BES)-powered water quality monitoring system based on the narrowband internet of things (NB-IoT) for aquaculture. (1) A PV/BES was used as main system. The PV and BES capacities were optimized to provide uninterrupted electrical system, taking into account two techno-economic criteria: maximum reliability index (RI) minimum levelized cost (LCOE). Additionally, sensitivity analyses conducted investigate effects changes in generation consumption RI improve resilience (2) NB-IoT-based remote developed aggregate parameters such dissolved oxygen, potential hydrogen, temperature, turbidity, salinity order early warning severe quality. Subsequently, data calculate suitability (WQSI). In addition, measuring devices installed measure relevant power, consumption, state charge. Grafana then process visualize these real-time end-users. proposed tested at an aquaculture pond Rayong Province, Thailand. From viewpoint, optimal size determined be capacity 50 Wp 480 Wh, with 100% LCOE 0.61 $/kWh. experimental results revealed that could operate continuously stably without losing power supply. Furthermore, demonstrated achieved adequate communication reliability, packet loss rate 0.89%, thereby allowing reliable near WQSI.

Язык: Английский

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Vertical Farming Perspectives in Support of Precision Agriculture Using Artificial Intelligence: A Review

Computers, Год журнала: 2022, Номер 11(9), С. 135 - 135

Опубликована: Сен. 8, 2022

Vertical farming is a new agricultural system which aims to utilize the limited access land, especially in big cities. agriculture answer meet challenges posed by land and water shortages, including urban with water. This research study uses Preferred Reporting for Systematic Review Meta-analysis (PRISMA) item as one of literary approaches. PRISMA way check validity articles literature review or systematic resulting from this paper. One survey scientific related vertical published last six years. Artificial intelligence machine learning, deep Internet Things (IoT) supporting precision has been optimally utilized, its application farming. The results provide information regarding all technological trends area agriculture, well exploring future opportunities.

Язык: Английский

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6G-Enabled Smart Agriculture: A Review and Prospect

Electronics, Год журнала: 2022, Номер 11(18), С. 2845 - 2845

Опубликована: Сен. 8, 2022

As human society develops, the population is growing explosively and water land resources are gradually being exhausted due to pollution. Smart agriculture regarded as having an essential role in addressing above challenges. can significantly improve agro-ecological environment yield quality of agricultural products, it reduce usage pesticides chemical fertilizers, thus alleviating pollution farmland improving sustainability activities. The key smart utilizing information communication technologies make cultivation production automatic intelligent. Specifically, wireless communications play active development agriculture, every generation technology drives a more intelligent stage. In this article, we first review which have mature applications agriculture. Moreover, importance exploit up-to-date further promote development. Therefore, surveyed sixth-generation mobile systems, well their existing potential

Язык: Английский

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AgriSecure: A Fog Computing-Based Security Framework for Agriculture 4.0 via Blockchain

Processes, Год журнала: 2023, Номер 11(3), С. 757 - 757

Опубликована: Март 3, 2023

Every aspect of the 21st century has undergone a revolution because Internet Things (IoT) and smart computing technologies. These technologies are applied in many different ways, from monitoring state crops moisture level soil real-time to using drones help with chores such as spraying pesticides. The extensive integration both recent IT conventional agriculture brought phase 4.0, often known agriculture. Agriculture intelligence automation addressed by However, advancement about digital technology, information security challenges cannot be overlooked. article begins providing an overview development 4.0 pros cons. This study focused on layered architectural design, identified issues, presented demands upcoming prospects. In addition that, we propose framework for that combines blockchain fog computing, software-defined networking. suggested Ethereum networking open-source IoT platform. It is then tested three cases under DDoS attack. results performance analysis show overall, proposed performed well.

Язык: Английский

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