Light and Temperature Signals for Regulating Horticultural Crop Growth and Development

A special issue of Agronomy (ISSN 2073-4395). This special issue belongs to the section "Farming Sustainability".

Deadline for manuscript submissions: 30 November 2025 | Viewed by 1209

Special Issue Editors


E-Mail Website
Guest Editor
College of Horticulture, South China Agricultural University, Guangzhou 510642, China
Interests: physiological ecology of protected horticultural; plant photobiology; plant factory production technology; efficient production technology for horticultural vegetables
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
College of Horticulture, South China Agricultural University, Guangzhou 510642, China
Interests: photobiology of horticultural crops; efficient production technology for protected vegetables

Special Issue Information

Dear Colleagues,

This Special Issue aims to collect manuscripts focused on light and temperature, important environmental factors which regulate the growth and development of horticultural crops. The precise control and in-depth understanding of light and temperature signals are crucial for maximizing crop growth, development, and productivity in settings such as greenhouses and indoor farms. This Special Issue will explore how photoperiodism, light quality, and temperature influence physiological processes like germination, flowering, fruiting, and photosynthesis, with an emphasis on applications in controlled-environment systems. We encourage contributions on the application of controlled environments, technological innovations, and crop management strategies to optimize these environmental factors.

Prof. Dr. Houcheng Liu
Dr. Jiali Song
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 100 words) can be sent to the Editorial Office for announcement on this website.

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. Agronomy 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

  • light signaling
  • controlled-environment agriculture
  • horticultural crops
  • temperature regulation
  • photoperiod
  • light quality, thermoperiodism
  • photomorphogenesis
  • indoor farming
  • crop management
  • precision agriculture

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

Further information on MDPI's Special Issue policies can be found here.

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

21 pages, 7150 KiB  
Article
Development of Lettuce Growth Monitoring Model Based on Three-Dimensional Reconstruction Technology
by Jun Ju, Minggui Zhang, Yingjun Zhang, Qi Chen, Yiting Gao, Yangyue Yu, Zhiqiang Wu, Youzhi Hu, Xiaojuan Liu, Jiali Song and Houcheng Liu
Agronomy 2025, 15(1), 29; https://doi.org/10.3390/agronomy15010029 - 26 Dec 2024
Viewed by 972
Abstract
Crop monitoring can promptly reflect the growth status of crops. However, conventional methods of growth monitoring, although simple and direct, have limitations such as destructive sampling, reliance on human experience, and slow detection speed. This study estimated the fresh weight of lettuce ( [...] Read more.
Crop monitoring can promptly reflect the growth status of crops. However, conventional methods of growth monitoring, although simple and direct, have limitations such as destructive sampling, reliance on human experience, and slow detection speed. This study estimated the fresh weight of lettuce (Lactuca sativa L.) in a plant factory with artificial light based on three-dimensional (3D) reconstruction technology. Data from different growth stages of lettuce were collected as the training dataset, while data from different plant forms of lettuce were used as the validation dataset. The partial least squares regression (PLSR) method was utilized for modeling, and K-fold cross-validation was performed to evaluate the model. The testing dataset of this model achieved a coefficient of determination (R2) of 0.9693, with root mean square error (RMSE) and mean absolute error (MAE) values of 3.3599 and 2.5232, respectively. Based on the performance of the validation set, an adaptation was made to develop a fresh weight estimation model for lettuce under far-red light conditions. To simplify the estimation model, reduce estimation costs, enhance estimation efficiency, and improve the lettuce growth monitoring method in plant factories, the plant height and canopy width data of lettuce were extracted to estimate the fresh weight of lettuce in addition. The testing dataset of the new model achieved an R2 value of 0.8970, with RMSE and MAE values of 3.1206 and 2.4576. Full article
Show Figures

Figure 1

Back to TopTop