IoT Solutions with Artificial Intelligence Technologies for Precision Agriculture: Definitions, Applications, Challenges, and Opportunities

Electronics, Journal Year: 2024, Volume and Issue: 13(10), P. 1894 - 1894

Published: May 11, 2024

The global agricultural sector confronts significant obstacles such as population growth, climate change, and natural disasters, which negatively impact food production pose a threat to security. In response these challenges, the integration of IoT AI technologies emerges promising solution, facilitating data-driven decision-making, optimizing resource allocation, enhancing monitoring control systems in operations address challenges promote sustainable farming practices. This study examines intersection precision agriculture (PA), aiming provide comprehensive understanding their combined mutually reinforcing relationship. Employing systematic literature review following Preferred Reporting Items for Systematic Reviews Meta-Analyses (PRISMA) 2020 guidelines, we explore synergies transformative potential integrating systems. also aims identify present trends, opportunities utilizing Diverse forms practices are scrutinized discern applications Through critical analysis existing literature, this contributes deeper how can revolutionize PA, resulting improved efficiency, sustainability, productivity sector.

Language: Английский

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Industry 4.0 technologies in Smart Agriculture: A review and a Technology Assessment Model proposition

Technological Forecasting and Social Change, Journal Year: 2024, Volume and Issue: 208, P. 123640 - 123640

Published: Sept. 4, 2024

Language: Английский

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Using 5TE Sensors for Monitoring Moisture Conditions in Green Parks

Sensors, Journal Year: 2024, Volume and Issue: 24(11), P. 3479 - 3479

Published: May 28, 2024

The ground surface and subsurface of green parks in arid desert areas may be subjected to desiccation as a result weather hot temperatures. It is not wise wait until plants are turning pale yellow before watering resumed. Given the scarcity water typical zones, we recommend full control irrigation water. This study presents method recycling using 5TE sensors, employing time-domain reflectometry (TDR) technology. A trial test section was constructed along coast eastern province Saudi Arabia. Water involves clay–sand liners placed below top agricultural soils intercept excess direct it towards collection tank, then pumped out major supply tank. main properties normally taken into account include moisture content, density, hydraulic conductivity. An assessment geotechnical mixtures containing 20% clay content conducted. profiles temperature changes were monitored sensors data loggers. provided continuous measurements at varying temperatures cycles. Twenty-nine cycles conducted over six-month period. additional considered with liner consisting same but enhanced bentonite one-third content. volumetric found vary from 0.150 0.565 following changing results indicated that use TDR instrumentation cost-effective time-saving technique construct system for saving

Language: Английский

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Efficient data routing for agricultural landscapes: ensemble fuzzy crossover based golden jackal approach

Signal Image and Video Processing, Journal Year: 2024, Volume and Issue: 18(8-9), P. 6273 - 6283

Published: June 27, 2024

Language: Английский

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