Agro-Mate: A Virtual Assister to Maximize Crop Yield in Agriculture Sector

Dayalini, S.; Sathana, M.; Navodya, P. R. N.; Weerakkodi, R. W. A. I. M. N.; Jayakody, Anuradha; Gamage, Narmada

doi:10.1109/icac54203.2021.9671140

Cited by 2 publications

(2 citation statements)

References 6 publications

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“…Several studies have utilized the Blynk app [196,197] to develop user-friendly interfaces for monitoring and controlling IoT devices in agriculture. The Blynk app provides a customizable dashboard that allows users to visualize sensor data in real time and remotely control connected devices, such as irrigation systems or environmental sensors.…”

Section: Reporting Componentsmentioning

confidence: 99%

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

Senoo,

Anggraini,

Kumi

et al. 2024

Electronics

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

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Section: Reporting Componentsmentioning

confidence: 99%

“…Furthermore, Google Sheets [117,197] has been utilized for data management and collaboration in agricultural IoT projects. Its familiar spreadsheet interface and cloudbased storage make it accessible for researchers and stakeholders to organize, analyze, and share agricultural data seamlessly.…”

Section: Reporting Componentsmentioning

confidence: 99%