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Smart Crop Cultivation System Using Automated Agriculture Monitoring Environment in the Context of Bangladesh Agriculture.
Rahman, Md Bayazid; Chakma, Joy Dhon; Momin, Abdul; Islam, Shahidul; Uddin, Md Ashraf; Islam, Md Aminul; Aryal, Sunil.
Afiliación
  • Rahman MB; Department of Computer Science and Engineering, Faculty of Science and Technology, Notre Dame University Bangladesh, Dhaka 1000, Bangladesh.
  • Chakma JD; Department of Computer Science and Engineering, Faculty of Science and Technology, Notre Dame University Bangladesh, Dhaka 1000, Bangladesh.
  • Momin A; Agricultural Engineering Technology, School of Agriculture, Tennessee Tech University, Cookeville, TN 38505, USA.
  • Islam S; Department of Agriculture, University of Arkansas at Pine Bluff, Pine Bluff, AR 71601, USA.
  • Uddin MA; School of Information Technology, Deakin University, Geelong, VIC 3220, Australia.
  • Islam MA; Department of Computer Science and Engineering, Jagannath University, Dhaka 1100, Bangladesh.
  • Aryal S; School of Information Technology, Deakin University, Geelong, VIC 3220, Australia.
Sensors (Basel) ; 23(20)2023 Oct 15.
Article en En | MEDLINE | ID: mdl-37896565
ABSTRACT
The Internet of Things (IoT) is a transformative technology that is reshaping industries and daily life, leading us towards a connected future that is full of possibilities and innovations. In this paper, we present a robust framework for the application of Internet of Things (IoT) technology in the agricultural sector in Bangladesh. The framework encompasses the integration of IoT, data mining techniques, and cloud monitoring systems to enhance productivity, improve water management, and provide real-time crop forecasting. We conducted rigorous experimentation on the framework. We achieve an accuracy of 87.38% for the proposed model in predicting data harvest. Our findings highlight the effectiveness and transparency of the framework, underscoring the significant potential of the IoT in transforming agriculture and empowering farmers with data-driven decision-making capabilities. The proposed framework might be very impactful in real-life agriculture, especially for monsoon agriculture-based countries like Bangladesh.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Tecnología / Agricultura País/Región como asunto: Asia Idioma: En Revista: Sensors (Basel) Año: 2023 Tipo del documento: Article País de afiliación: Bangladesh

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Tecnología / Agricultura País/Región como asunto: Asia Idioma: En Revista: Sensors (Basel) Año: 2023 Tipo del documento: Article País de afiliación: Bangladesh