18 pages., Interdisciplinary agricultural research centers are becoming more common at land-grant universities. These centers often use an interdisciplinary approach to address complex science issues. As these centers address agricultural issues that impact society, effective science communication is a necessary activity. However, these centers may face unique barriers or opportunities. This study utilized a qualitative approach to identify the barriers and motivations of interdisciplinary agricultural center directors when communicating about science. Participants identified common science communication challenges, such as time and lack of funding. Funding was also identified as a motivation, as well as factors related to the tenure and promotion process. Recommendations from this work include evaluating the public relations and the effectiveness of science communication from these centers. Future research should also examine the financial structure of interdisciplinary centers to better inform best practices.
24 pages, In this work, an exhaustive revision is given of the literature associated with advanced information and communication technologies in agriculture within a window of 25 years using bibliometric tools enabled to detect of the main actors, structure, and dynamics in the scientific papers. The main findings are a trend of growth in the dynamics of publications associated with advanced information and communication technologies in agriculture productivity. Another assertion is that countries, like the USA, China, and Brazil, stand out in many publications due to allocating more resources to research, development, and agricultural productivity. In addition, the collaboration networks between countries are frequently in regions with closer cultural and idiomatic ties; additionally, terms’ occurrence are obtained with Louvain algorithm predominating four clusters: precision agriculture, smart agriculture, remote sensing, and climate smart agriculture. Finally, the thematic-map characterization with Callon’s density and centrality is applied in three periods. The first period of thematic analysis shows a transition in detecting the variability of a nutrient, such as nitrogen, through the help of immature georeferenced techniques, towards greater remote sensing involvement. In the transition from the second to the third stage, the maturation of technologies, such as unmanned aerial vehicles, wireless sensor networks, and the machine learning area, is observed
