Bridging the Digital Divide in Agriculture: Lessons from the United States and Africa in Smart Farming Adoption DOI

Samuel Oshikoya,

Adekunle Olaoluwa Adeyeye,

Olufisayo Andrew Obebe

et al.

Published: April 26, 2025

The adoption of smart farming has altered food production by increasing efficiency, sustainability, and productivity. However, there is a digital divide, with affluent countries such as the United States benefiting from advanced agricultural technologies, nevertheless, many African face limited access to tools, inadequate infrastructure, financial restraints. This disparity implications for security, economic development, global prompting an in-depth examination factors impacting in different regions. review examines benefits impact on productivity, well identifies potential cross-regional knowledge sharing across Africa. findings indicate that technologies have considerably increased productivity sustainability States, due strong government initiatives, public-private collaborations, widespread infrastructure. In contrast, farmers confront broadband connection, constraints, insufficient institutional support, which restricts precision agriculture data-driven farming. Therefore, bridging divide necessitates comprehensive approach combines technology, policy, capacity- building efforts.

Language: Английский

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

Shulang Fei,

Rui Wu,

He Liu

et al.

Horticulturae, Journal Year: 2025, Volume and Issue: 11(2), P. 212 - 212

Published: Feb. 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.

Language: Английский

Citations

2
Agriculture 4.0 adoption challenges in the emerging economies: Implications for smart farming and sustainability DOI Creative Commons

Md Hasibul Islam,

Md. Zahidul Anam,

Mohammad Rashedul Hoque

et al.

Journal of Economy and Technology, Journal Year: 2024, Volume and Issue: 2, P. 278 - 295

Published: Sept. 16, 2024

Language: Английский

Citations

12
Building trust: A systematic review of the drivers and barriers of agricultural data sharing DOI Creative Commons
Clare S. Sullivan, Marilena Gemtou, Evangelos Anastasiou

et al.

Smart Agricultural Technology, Journal Year: 2024, Volume and Issue: 8, P. 100477 - 100477

Published: May 25, 2024

Smart farming practices offer decision-making support as farmers navigate economic, social, and environmental challenges. However, smart adoption remains low in many contexts due to the perceived cost skills required, hesitancies about sharing agricultural data. Numerous studies have reviewed factors that influence within different scenarios, but best our knowledge, none specifically motivators obstacles of agri-data farming. The objective this research was identify classify most prominent drivers barriers for across stakeholders, by examining existing literature. A Systematic Literature Review conducted using PRISMA 2020 methodology. query initially identified 491 papers from Scopus Web Science, after screening final number assessment 59. Factors affecting willingness capability engage data were categorised socio-economic, systemic, technical, legal categories. systemic which discussed 58% 57% papers, respectively. Technical prevalent barriers, 68% Perceived knowledge gain leading improved decision-making, collaboration agri-value chain, technologies, clarity around sovereignty key enablers Lack purpose benefit data, mistrust "who will my data", privacy security, lack on ownership rights use concerns. findings paper help inform on-the-ground social science EU focused feasible options promoting benefits sharing.

Language: Английский

Citations

9
Identifying and overcoming barriers to climate change adaptation innovations among smallholder farmers in developing countries: a literature review and meta-analysis DOI
Mahugnon Maxime, Cokou Patrice Kpadé, Alphonse Singbo

et al.

Climatic Change, Journal Year: 2025, Volume and Issue: 178(3)

Published: March 1, 2025

Language: Английский

Citations

1
Decision Support Systems adoption in pesticide management DOI Creative Commons
Jotham Jea Akaka, Aurora García‐Gallego, Nikolaos Georgantzı́s

et al.

Open Research Europe, Journal Year: 2024, Volume and Issue: 4, P. 142 - 142

Published: Sept. 26, 2024

This paper presents the findings from a survey on factors influencing adoption of agricultural Decision Support Systems (DSS). Our study focuses examining influence behavioural, socioeconomic and farm specific characteristics DSS adoption. Using two structural equation models, we investigate how these willingness to pay (WTP) adopt. analysis reveals nuanced insights into user farm-specific that decision-making process WTP. Notably, size significantly influences both WTP, with larger farms more likely adopt exhibit higher To promote adoption, it is important adapt promotion strategies, focus productivity benefits for large-scale addressing price barriers smaller ones. Additionally, main crop type grown impacts WTP arable farmers lower but adopt, especially in operations. Conversely, small-scale rates due scale constraints. Farmer such as experience attitudes also play crucial role, experienced users those perceiving improvements showing In addition, influenced by ease use pricing, underpinning importance user-friendly designs clear cost justifications. DSSs user-centric justifications can enhance rates.

Language: Английский

Citations

5
Fostering Digitalization: How Local Policies Are Transforming Rural Areas in Italy DOI Open Access
Valerio Di Stefano, Alessandro Paletto, Raffaele Cortignani

et al.

Forests, Journal Year: 2025, Volume and Issue: 16(2), P. 260 - 260

Published: Jan. 31, 2025

In recent years, several policies and strategies have been developed by the European Union to promote innovation digitalization in agricultural forestry sector, including Common Agricultural Policy (CAP), which allocates just under EUR 150 billion for period of 2023–2027. Italy, sector has grown significantly over past decade, with 3.8% increasing 15.8% farms now being computerized. This growth fostered Italian strategy agriculture, part CAP Strategic Plan, implemented at regional level through Rural Development Complements (RDCs), adopted 2023. study analyzes RDCs regions, comparing terms from both technical economic perspectives. analysis focuses on interventions three support groups (SRGs)—SRG07, SRG08, SRG09—assessing whether they activated all regions delves into political reasons behind any lack implementation. The compares funding allocated each intervention, highlighting differences underlying causes. main strengths, weaknesses, opportunities, threats were prioritized an A’WOT analysis. major strengths include provision job security sustainability, while weaknesses comprise challenges digital divide a training. opportunities identified potential development precision agriculture eco-sustainable practices, but these are hampered critical issues such as spatial fragmentation limited resources. analytical framework offers comprehensive view dynamics providing useful insights more effective that can equitable innovative sector.

Language: Английский

Citations

0
Harnessing Smart Farming: Key Determinants of Automated Mini Greenhouse Adoption and Use in the Philippines DOI Creative Commons

Eugenia R. Zhuo

Green Intelligent Systems and Applications, Journal Year: 2025, Volume and Issue: 5(1), P. 14 - 25

Published: Feb. 4, 2025

This research investigated the determinants of adopting and sustaining utilization automated mini-greenhouses in Philippines, a nation particularly vulnerable to climate change. Using an integrated theoretical framework combining Unified Theory Acceptance Use Technology (UTAUT2), Diffusion Innovation (DOI), Actor-Network (ANT), this employed quantitative approach assess key constructs, such as performance expectancy, effort social influence, facilitating conditions, hedonic motivation, trust, habit, technology readiness. Data were collected through structured surveys administered smallholder farmers, results analyzed using Python-based statistical tools. The findings indicated that expectancy influence significant predictors adoption, while habit conditions strongly influenced continued use. Trust resource accessibility, derived from DOI ANT, also emerged critical factors sustained utilization. These contributed understanding smart farming adoption context resilience sustainable agriculture. Future should explore broader applications technologies further examine their long-term sustainability.

Language: Английский

Citations

0
Farmers' perspective on digitalization of climate-smart agricultural practices: a comparative study in Tamil Nadu, India DOI Creative Commons
Divya Suresh, Rajib Shaw, Yuji Masutomi

et al.

Discover Agriculture, Journal Year: 2025, Volume and Issue: 3(1)

Published: Feb. 21, 2025

Language: Английский

Citations

0
Development and Evaluation of a Multiaxial Modular Ground Robot for Estimating Soybean Phenotypic Traits Using an RGB-Depth Sensor DOI Creative Commons
James Kemeshi, Young K. Chang, Pappu Kumar Yadav

et al.

AgriEngineering, Journal Year: 2025, Volume and Issue: 7(3), P. 76 - 76

Published: March 11, 2025

Achieving global sustainable agriculture requires farmers worldwide to adopt smart agricultural technologies, such as autonomous ground robots. However, most robots are either task- or crop-specific and expensive for small-scale smallholders. Therefore, there is a need cost-effective robotic platforms that modular by design can be easily adapted varying tasks crops. This paper describes the hardware of unique, low-cost multiaxial robot (ModagRobot), its field evaluation soybean phenotyping. The ModagRobot’s chassis was designed without any welded components, making it easy adjust trackwidth, height, clearance, length. For this experiment, ModagRobot equipped with an RGB-Depth (RGB-D) sensor safely navigate over rows collect RGB-D images estimating phenotypic traits. RGB were processed using Excess Green Index estimate percent canopy coverage area. 3D point clouds generated from used height (CH) Profile sample plots linear regression. Aboveground biomass (AGB) estimated extracted Results showed R2, RMSE, RRMSE 0.786, 0.0181 m, 2.47%, respectively, between CH measured CH. AGB all traits 0.59, 0.0742 kg/m2, 8.05%, compared AGB. results demonstrate effectiveness in-row crop

Language: Английский

Citations

0
Symbiotic relationship and attribution analysis of digitalization in agriculture, rural, and finance: evidence from China DOI Creative Commons
Xiaojuan Yang, Kai Liu, Weiwei Li

et al.

Frontiers in Sustainable Food Systems, Journal Year: 2025, Volume and Issue: 9

Published: April 1, 2025

There is a close symbiotic relationship among digital finance, rural and agriculture. The three promote influence each other to jointly drive revitalization agricultural modernization. Using panel data from 30 provinces in China spanning 2015 2021, this paper quantitatively analyzes the dynamic characteristics, spatial patterns, driving mechanisms of agriculture, their relationships through coupling coordination degree model (CCDM) geographically temporally weighted regression (GTWR). study shows that between finance dominated by coordinate quasi relationship. evolution indices diversified, with emergence variety patterns such as continuously declining, fluctuating upward, relatively stable, L-shaped, inverted U-shaped, W-shaped, V-shaped, tilted Z-shaped, M-shaped, its changes exhibit significant variability, agglomeration correlation. mechanism complicated, nature intensity factors are regional time-varying. Except for fiscal self-sufficiency rate, which plays long-term positive promotion role, most exert mixed effects (both promoting negative inhibitory). For reason, it recommended government should change trend management, balancing weak strong interventions. And also accelerate transformation development policies toward policies, scientifically delineate geographical zones, establish alliances, enable leading regions demonstrate exemplary value, while helping assisting those underdeveloped quickly achieve breakthrough areas distinctive advantages. In addition, design digitalization policy portfolio according mechanism, focusing on synergistic key factors.

Language: Английский

Citations

0