Journal Overview

Engineering for Smart Agriculture is an international scholarly journal dedicated to advancing innovative engineering solutions for modern, data-driven, and sustainable agriculture. The journal provides a multidisciplinary platform for high-quality research at the intersection of agricultural engineering, smart systems, digital technologies, and environmental sustainability. It aims to publish original studies that contribute to improving agricultural productivity, resource efficiency, resilience, and decision-making through the integration of intelligent technologies.

The journal welcomes theoretical, experimental, and applied research on topics such as precision agriculture, agricultural automation, sensor technologies, Internet of Things (IoT), artificial intelligence, machine learning, robotics, remote sensing, unmanned aerial systems, digital twins, climate-smart farming, water and energy management, and smart greenhouse systems. By bridging engineering innovation with agricultural practice, Engineering for Smart Agricultureseeks to support the transformation of traditional farming into intelligent, efficient, and sustainable agricultural systems for the future.

Engineering for Smart Agriculture is a peer-reviewed academic journal that brings together scientific inquiry and reflective thought. The journal aims to publish original studies that address fundamental issues such as knowledge, truth, ethics, humanity, society, civilization, nature, and technology through an interdisciplinary perspective. By valuing the intellectual, moral, and cultural dimensions of scientific research, the journal seeks to make meaningful contributions to academic scholarship.

Plagiarism and Originality Check Policy: The originality of the manuscript submitted is the responsibility of the publisher. Submission, plagiarism, and self-plagiarism must be avoided by writers. Manuscript submission in the CrossCheck server ( http:/www.ithenticate.com/ ) will be checked for plagiarism. iThenticate is a system that tests the originality of the submitted material and helps detect plagiarism. Authors can also use iThenticate to display their own credentials prior to submission. The similarity percentage must be less than 25% without bibliography.

Ethical Principles and Publication Policy: https://www.adbajournals.com/journals/sac/ins-to-authors

The journal is an open-access journal , which is means that all content is freely available to users and their institutions. Users may read, download, copy, search, or provide links to the full text of papers in this journal without permission from the publisher or the authors and except for commercial purposes. They can also rearrange them, provided that the original work is properly cited.

Licensing Policy: CC BY-NC 4.0, https://creativecommons.org/licenses/by-nc/4.0/

Engineering for Smart Agriculture (ESA) is an international scholarly journal dedicated to advancing innovative engineering solutions for modern, data-driven, and sustainable agriculture. The journal provides a multidisciplinary platform for high-quality research at the intersection of agricultural engineering, smart systems, digital technologies, and environmental sustainability. It aims to publish original studies that contribute to improving agricultural productivity, resource efficiency, resilience, and decision-making through the integration of intelligent technologies.

The journal welcomes theoretical, experimental, and applied research on topics such as precision agriculture, agricultural automation, sensor technologies, Internet of Things (IoT), artificial intelligence, machine learning, robotics, remote sensing, unmanned aerial systems, digital twins, climate-smart farming, water and energy management, and smart greenhouse systems. By bridging engineering innovation with agricultural practice, Engineering for Smart Agricultureseeks to support the transformation of traditional farming into intelligent, efficient, and sustainable agricultural systems for the future.

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