An overview of image-based phenotyping as an adaptive 4.0 technology for studying plant abiotic stress: A bibliometric and literature review

Improving the tolerance of crop species to abiotic stresses that limit plant growth and productivity is essential for mitigating the emerging problems of global warming. In this context, imaged data analysis represents an effective method in the 4.0 technology era, where this method has the non-destructive and recursive characterization of plant phenotypic traits as selection criteria. So, the plant breeders are helped in the development of adapted and climate-resilient crop varieties. Although image-based phenotyping has recently resulted in remarkable improvements for identifying the crop status under a range of growing conditions, the topic of its application for assessing the plant behavioral responses to abiotic stressors has not yet been extensively reviewed. For such a purpose, bibliometric analysis is an ideal analytical concept to analyze the evolution and interplay of image-based phenotyping to abiotic stresses by objectively reviewing the literature in light of existing database. Bibliometricy, a bibliometric analysis was applied using a systematic methodology which involved data mining, mining data improvement and analysis, and manuscript construction. The obtained results indicate that there are 554 documents related to image-based phenotyping to abiotic stress until 5 January 2023. All document showed the future development trends of image-based phenotyping will be mainly centered in the United States, European continent and China. The keywords analysis major focus to the application of 4.0 technology and machine learning in plant breeding, especially to create the tolerant variety under abiotic stresses. Drought and saline become an abiotic stress often using image-based phenotyping. Besides that, the rice, wheat and maize as the main commodities in this topic. In conclusion, the present work provides information on resolutive interactions in developing image-based phenotyping to abiotic stress, especially optimizing high-throughput sensors in image-based phenotyping for the future development.

Highlighting the Way Forward: A Review of Community Mental Health Research and Practice Published in AJCP and JCP

Articles published in the two most prominent journals of community psychology in North America, the American Journal of Community Psychology (AJCP) and Journal of Community Psychology (JCP), provide a clear indicator of trends in community research and practice. An examination of community psychology's history and scholarship suggests that the field has reduced its emphasis on promoting mental health, well-being, and liberation of individuals with serious mental illnesses over the past several decades. To further investigate this claim, the current review presents an analysis of articles relevant to community mental health (N = 307) published in the American Journal of Community Psychology (AJCP) and Journal of Community Psychology (JCP) from 1973 to 2015. The review focuses on article characteristics (e.g., type of article and methods employed), author characteristics, topic areas, and theoretical frameworks. Results document a downward trend in published articles from the mid-1980s to mid-2000s, with a substantial increase in published work between 2006 and 2015. A majority of articles were empirical and employed quantitative methods. The most frequent topic area was community mental health centers and services (n = 49), but the past three decades demonstrate a clear shift away from mental health service provision to address pressing social issues that impact community mental health, particularly homelessness (n = 42) and community integration of adults with serious mental illnesses (n = 40). Findings reflect both the past and present state of community psychology and suggest promising directions for re-engaging with community mental health and fostering well-being, inclusion, and liberation of adults experiencing serious mental health challenges.