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

Опубликована: Апрель 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.

Язык: Английский

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A Novel Blockchain Proof of Validation Scheme Based on Explainable AI for Healthcare Workload

VAWKUM Transactions on Computer Sciences, Год журнала: 2025, Номер 13(1), С. 54 - 67

Опубликована: Апрель 22, 2025

These days, the usage of blockchain with machine learning to optimise data validation in terms transparency, validity, and immutability has been increasing daily. Therefore, many complex applications, such as healthcare related disease processes, have recently required implementation remote resources a transparent form. The provides real-time security based on proof work schemes. To understand dynamic situation blockchain, mainly implemented for decision improve efficiency security. However, there are limitations when using technology learning. cope this issue, novel scheme explainable AI applications is needed process more way. We present (PoWV-XAI) control delay, energy, cost issues compared existing blockchains algorithms. proposed PoWV-XAI algorithm suggested different metaheuristic schemes supported explainability workload execution other nodes, local server. Simulation results show that explainable, all decisions, processing validation, security, cost, methods.

Язык: Английский

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Precision Agriculture and Artificial Intelligence

Advances in geospatial technologies book series, Год журнала: 2025, Номер unknown, С. 227 - 256

Опубликована: Апрель 30, 2025

Precision agriculture, combined with advances in artificial intelligence (AI), plays a decisive role the sustainable management of agricultural resources face climate challenges. This field aims to optimize farming practices by using technologies such as sensors, drones, and massive data analysis monitor, predict respond specific crop needs. AI tools, machine learning neural networks, make it possible anticipate climatic impacts, efficiently manage irrigation fertilizer use, while reducing waste resources. marriage between technology agriculture strengthen resilience systems promote production that meets challenges food security environmental impact.

Язык: Английский

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Low-Complexity Microclimate Classification in Smart Greenhouses: A Fuzzy-Neural Approach

Future Internet, Год журнала: 2025, Номер 17(5), С. 214 - 214

Опубликована: Май 13, 2025

Maintaining optimal microclimatic conditions within greenhouses represents a significant challenge in modern agricultural contexts, where prediction systems play crucial role regulating temperature and humidity, thereby enabling timely interventions to prevent plant diseases or adverse growth conditions. In this work, we propose novel approach which integrates cascaded Feed-Forward Neural Network (FFNN) with the Granular Computing paradigm achieve accurate microclimate forecasting reduced computational complexity. The experimental results demonstrate that accuracy of our is same as FFNN-based but complexity reduced, making solution particularly well suited for deployment on edge devices limited capabilities. Our innovative has been validated using real-world dataset collected from four integrated into distributed network architecture. This setup supports execution predictive models both sensors deployed greenhouse at edge, more computationally intensive can be utilized enhance decision-making accuracy.

Язык: Английский

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Toward a Blockchain-Based Car Rental Platform

Journal of Computer Information Systems, Год журнала: 2025, Номер unknown, С. 1 - 18

Опубликована: Май 16, 2025

Язык: Английский

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