[PDF][PDF] Unmanned aerial vehicle-based applications in smart farming: A systematic review
On one hand, the emergence of cutting-edge technologies like AI, Cloud Computing, and
IoT holds immense potential in Smart Farming and Precision Agriculture. These …
IoT holds immense potential in Smart Farming and Precision Agriculture. These …
Adoption of industry 4.0 in different sectors: a structural review using natural language processing
The objective of the current study is to perform a systematic review of the literature,
presenting diverse research domains for forthcoming researchers to explore and offer an …
presenting diverse research domains for forthcoming researchers to explore and offer an …
Industrial revolution and environmental sustainability: an analytical interpretation of research constituents in Industry 4.0
Purpose Environmental sustainability is quickly becoming one of the most critical issues in
industry development. This study aims to conduct a systematic literature review through …
industry development. This study aims to conduct a systematic literature review through …
[HTML][HTML] Integrating explainable artificial intelligence and blockchain to smart agriculture: Research prospects for decision making and improved security
Food safety hazards can be discovered and avoided using XAI and blockchain technology.
The immutable and transparent ledger of blockchain technology can be used to maintain …
The immutable and transparent ledger of blockchain technology can be used to maintain …
Review the role of artificial intelligence in detecting and preventing financial fraud using natural language processing
Frauds accounted for significant losses in the financial sector and emerged as the industry's
biggest challenge. Companies invest significant amounts to prevent such fraud. It has been …
biggest challenge. Companies invest significant amounts to prevent such fraud. It has been …
Research on the impact of internet use on fertilizer and pesticide inputs: Empirical evidence from China
H Na, J Kang - Heliyon, 2023 - cell.com
Fertilizers and pesticides are important agricultural production materials. Excessive use of
fertilizers and pesticides can cause negative impacts such as decline in the quality of farm …
fertilizers and pesticides can cause negative impacts such as decline in the quality of farm …
A comparative analysis of deep learning and deep transfer learning approaches for identification of rice varieties
K Sharma, GK Sethi, RK Bawa - Multimedia Tools and Applications, 2024 - Springer
Rice is an essential staple food for human nutrition. Rice varieties worldwide have been
planted, imported, and exported. During production and trading, different types of rice can be …
planted, imported, and exported. During production and trading, different types of rice can be …
Industrial revolution and smart farming: a critical analysis of research components in Industry 4.0
Purpose The domains of Industry 4.0 and Smart Farming encompass the application of
digitization, automation, and data-driven decision-making principles to revolutionize …
digitization, automation, and data-driven decision-making principles to revolutionize …
A Latent Dirichlet Allocation (LDA) Semantic Text Analytics Approach to Explore Topical Features in Charity Crowdfunding Campaigns
Crowdfunding in the realm of the Social Web has received substantial attention, with prior
research examining various aspects of campaigns, including project objectives, durations …
research examining various aspects of campaigns, including project objectives, durations …
Research constituents and trends in smart farming: an analytical retrospection from the lens of text mining
Agriculture research began with the idea that local systems are interconnected. Thus, it was
crucial to consider farmers, crops, and livestock. Smart farming arose with the Internet of …
crucial to consider farmers, crops, and livestock. Smart farming arose with the Internet of …