A Comprehensive Survey of Retrieval-Augmented Large Language Models for Decision Making in Agriculture: Unsolved Problems and Research Opportunities DOI Open Access
Artem Vizniuk, Grygorii Diachenko, Іvan Laktionov

et al.

Journal of Artificial Intelligence and Soft Computing Research, Journal Year: 2024, Volume and Issue: 15(2), P. 115 - 146

Published: Dec. 1, 2024

Abstract The breakthrough in developing large language models (LLMs) over the past few years has led to their widespread implementation various areas of industry, business, and agriculture. aim this article is critically analyse generalise known results research directions on approaches development utilisation LLMs, with a particular focus functional characteristics when integrated into decision support systems (DSSs) for agricultural monitoring. subject integration LLMs DSSs agrotechnical main scientific applied are as follows: world experience using improve processes been analysed; critical analysis carried out, application architectures have identified; necessity focusing retrieval-augmented generation (RAG) an approach solving one limitations which limited knowledge base training data, established; prospects agriculture analysed highlight trustworthiness, explainability bias reduction priority research; potential socio-economic effect from RAG sector substantiated.

Language: Английский

Advancing Sustainability: The Impact of Emerging Technologies in Agriculture DOI Creative Commons
Ashoka Gamage, Ruchira Gangahagedara, Shyamantha Subasinghe

et al.

Current Plant Biology, Journal Year: 2024, Volume and Issue: unknown, P. 100420 - 100420

Published: Nov. 1, 2024

Language: Английский

Citations

9
Stakeholder's Perspective on Smart Farming Robotic Solutions DOI Creative Commons
George Papadopoulos, Maria-Zoi Papantonatou, Havva Uyar

et al.

Smart Agricultural Technology, Journal Year: 2025, Volume and Issue: unknown, P. 100916 - 100916

Published: March 1, 2025

Language: Английский

Citations

1
Digital Revolution in Agriculture: Using Predictive Models to Enhance Agricultural Performance Through Digital Technology DOI Creative Commons
Anca Antoaneta Vărzaru

Agriculture, Journal Year: 2025, Volume and Issue: 15(3), P. 258 - 258

Published: Jan. 24, 2025

Digital innovation in agriculture has become a powerful force the modern world as it revolutionizes agricultural sector and improves sustainability efficacy of farming practices. In this context, study examines effects digital technology, reflected by economy society index (DESI), on key performance metrics, including output real labor productivity per person. The paper develops strong analytical method for quantifying these associations using predictive models, such exponential smoothing, ARIMA, artificial neural networks. fully illustrates how economic technological components interact, productivity, output, GDP capita. results demonstrate that technologies significantly impact productivity. These findings illustrate importance transformation modernizing improving agriculture’s overall efficacy. study’s conclusion highlights necessity integrating technology into policy to address problems nurture sustainable growth sector.

Language: Английский

Citations

0
Tendencias Actuales en la aplicación del Bigdata y Agricultura Inteligente un Enfoque Bibliométrico DOI Creative Commons
Carlos Arturo Carvajal Chávez

Estudios y Perspectivas Revista Científica y Académica, Journal Year: 2025, Volume and Issue: 5(1), P. 310 - 332

Published: Jan. 29, 2025

La necesidad por alimentar a la población mundial se ha convertido en un desafío nuestra sociedad. producción agrícola requiere de tecnificación que le permita cumplir con esta población. En este sentido Big Data convierte una las herramientas relevantes permiten gestionar y optimizar los recursos naturales e insumos agrícolas convirtiendo actividades el campo agricultura inteligente innova mejora resultados producción. El presente trabajo busca responder pregunta ¿Cuáles son tendencias actuales aplicación bigdata inteligente?. A través análisis bibliométrico buscamos interrogante determinar brecha investigación. Los alcanzados nos muestran 7 brechas investigación: bigdata, blockchain, smart farming, security, artificial intelligence internet of things, estos determinantes áreas investigación crecimiento requieren ser exploradas sus permitirán mejorar producción, alto nivel control su desarrollo sostenible sustentable.

Citations

0
Evaluating logistic regression and geographically weighted logistic regression models for predicting orange-fleshed sweet potato adoption intention in Benin DOI Creative Commons
Idrissou Ahoudou, Nicodème V. Fassinou Hotegni, Charlotte O. A. Adjé

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: March 15, 2025

The low adoption rate of biofortified crops, like orange-fleshed sweet potatoes (OFSP), by farmers remains a major food security concern. Accurate forecasting models for OFSP intention are essential breeding and introduction projects. This study aims to (i) identify key predictors among in Benin, integrating various factors, (ii) investigate regional variations these through different modeling approaches. We used diverse set predictors, including social, geographical, psychological constructs, model potato production areas Benin. Both logistic regression (LR) geographically weighted (GWLR) were developed assessed. GWLR significantly outperformed the LR model, achieving validated result 94.2%, compared 87% model. accurately identified with medium high propensities, mainly northern aligning closely observed data. Driving factors showed robust spatial heterogeneities, influencing intentions differently across regions, correlations ranging from positive negative. excels elucidating nuances offering promising avenue more reliable predictions adoption.

Language: Английский

Citations

0
DIGITAL MAPPING OF BUSINESS PERFORMANCE INDICATORS OF AGRICULTURAL HOLDINGS IN SERBIA DOI Creative Commons
Žarko Rađenović, Ivana Janjić, Miljana Talić

et al.

Ekonomika poljoprivrede, Journal Year: 2025, Volume and Issue: 72(1), P. 225 - 240

Published: March 27, 2025

The capacity of new technologies to boost agricultural yields, optimize resource utilization, enhance productivity, and improve f inancial outcomes has gained significant consideration among farmers, organizations, policymakers. Across the globe, innovative digital solutions have emerged as key catalysts for transforming advancing sector. Hence, this study explores adoption tools by Serbian holdings business performance sustainability. employed mixed-methods approach highlights disparities in readiness barriers faced small scale farmers. Results reveal that while smartphones dominate technology use, broader platforms is hindered low literacy, high costs, limited infrastructure. indings emphasize potential agro-economic maps allocation, reduce decision making. Finally, actions should be focused on improving literacy rural population, expanding technological infrastructure, designing policy incentives encourage smart practices.

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
Shaping the Future of Horticulture: Innovative Technologies, Artificial Intelligence, and Robotic Automation Through a Bibliometric Lens DOI Creative Commons
Maria-Magdalena Poenaru, Liviu Florin Manta, Claudia Gherțescu

et al.

Horticulturae, Journal Year: 2025, Volume and Issue: 11(5), P. 449 - 449

Published: April 22, 2025

This study conducts a bibliometric and content analysis based on publications indexed in the Web of Science Core Collection, aiming to map evolution key themes horticultural research context technological innovation sustainability. The results reveal strong orientation toward digitalization automation, particularly through integration artificial intelligence, mechatronic systems, sensor-based monitoring crop management. In field biotechnology, keywords such as gene expression, genetic diversity, micropropagation reflect sustained interest improving resilience disease resistance vitro propagation techniques. Furthermore, concepts environmental control, soilless culture, energy efficiency, co-generation highlight focus optimizing growing conditions integrating renewable sources into protected systems. geographical distribution studies highlights increased academic output countries like India regions sub-Saharan Africa, reflecting global transferring advanced technologies vulnerable areas. Moreover, collaboration networks are dominated by leading institutions Wageningen University, which act hubs for knowledge diffusion. findings suggest that future should prioritize development durable, energy-efficient adapted various agro-climatic zones. It is recommended policymakers stakeholders support interdisciplinary initiatives, promote transfer mechanisms, ensure equitable access smallholder farmers emerging economies.

Language: Английский

Citations

0
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

Citations

0
Empirical Investigation for Assessing the Impact of Environmental Degradation and Digital Technologies on the Agricultural Sector DOI
Ajay Kumar Singh,

S. Srinivasan

IGI Global eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 36

Published: May 1, 2025

This chapter examines the impact of environmental degradation and DTs on cereal yield across countries. Per capita CO2 emissions are considered as a proxy variable for degradation, while digital infrastructure related indicators included variables in empirical investigation. Foreign direct investment, population growth, application fertilizer, per GDP inflation control models. Log-linear regression equation is applied to examine mentioned compiling country-wise panel data during 2000 - 2020. show negative yield. It found relationship FDI, growth with Cereal expected be increased agricultural sector increases. Finally, several policy implications provided reduce increase sustainability.

Language: Английский

Citations

0