Precision Forestry in the Digital Age: AI-Driven Monitoring and Management of Economic Plantations
A special issue of Forests (ISSN 1999-4907). This special issue belongs to the section "Forest Inventory, Modeling and Remote Sensing".
Deadline for manuscript submissions: 30 December 2026 | Viewed by 74
Special Issue Editors
Interests: LiDAR; hyperspectral; nitrogen nutrition; biomass; precision silviculture; AI
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Economic plantations represent a category of economically and ecologically significant forested agroecosystems that are valued not only for their production of nuts, leaves, and phytochemicals, but also for their cultural heritage and environmental benefits. However, the sustainable management of these plantations faces mounting challenges, including the need for precise resource allocation, climate change adaptation, pest and disease control, and the optimization of yield and quality. Traditional management methods often rely on generalized practices, which can lead to inefficiencies and heightened environmental footprints.
This Special Issue aims to gather innovative research and develop new frameworks for applying artificial intelligence (AI), the Internet of Things (IoT), remote sensing, and big data analytics to the unique contexts of economic plantation cultivation. We welcome contributions that explore topics such as AI-based image recognition for disease and pest detection, drone and satellite remote sensing for growth vigor and stress monitoring, sensor-driven smart irrigation and fertilization systems, predictive yield and quality modeling, and the integration of digital twins for full-cycle plantation management.
We encourage submissions from researchers, agronomists, foresters, data scientists, and engineers working at the intersection of digital technology, forestry, and precision agriculture. Our goal is to foster collaborative and interdisciplinary dialog, providing a platform for cutting-edge findings and practical solutions that will empower the transition towards more intelligent, resilient, and sustainable plantation management practices.
Dr. Kai Zhou
Dr. Xin Shen
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Forests is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- precision forestry
- Artificial Intelligence (AI)
- remote sensing
- smart sensors
- economic plantations
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