25 pages, To foster the responsible development and governance of CRISPR, it is important to understand how agricultural communities perceive and discuss this technology. This study conducted a content analysis of 529 articles from 53 diverse agricultural news publications across sectors and U.S. regions between 2012 and 2022. We analyzed how CRISPR technology is depicted in terms of risk, benefit, social/policy context, quoted experts, and the mentioning of other biotechnologies. Our findings show that from the time that CRISPR was developed for agriculture over a decade ago, agricultural news has consistently reflected a pro-innovation stance, frequently describing its benefits as well as advantages over longer-standing biotechnologies. Industry representatives were quoted most frequently, followed by university scientists and political representatives, while producers and non-governmental groups were quoted least frequently. Technology-related risks (off-target effects, financial risks) were notably lacking, but CRISPR’s social context was covered more extensively, including uncertainties in regulation and consumer acceptance. We discussed the implications for agricultural news professionals, communicators, and future researchers, emphasizing the importance of fostering a more balanced discourse and ensuring informed decision-making within the agricultural sector.
8 pages, Food security is one of the priorities of every country in the World. However, different factors are making it difficult to meet global targets on food security. Some unprecedented shocks are encumbering food security at the global level. Various interventions have been applied toward food security and artificial intelligence is one of the modern methods that is being used in various stages of the food system. In this paper, the application of artificial intelligence in the whole food production ecosystem ranging from crop production, livestock production, harvesting/slaughtering, postharvest management, food processing, food distribution, food consumption and food waste management is assessed. The objective of this research is to assess the application of artificial intelligence systems in all the stages of food systems. A systematic review was conducted by analyzing 110 articles after the screening of 450 articles based on the inclusion and exclusion criteria. The results indicated that various artificial intelligence algorithms are being applied to all the stages of the food system from crop/livestock production up to food or agro-waste management.
17 pages, The purpose of the study was to design a device for the dissolution of fertilizers for agricultural use in an automatic and environmentally sustainable way to facilitate the work of farmers. To achieve this goal, an outdated blade design was used, which generates turbulent and laminar flows thanks to the angle of inclination of its blades. In tests, the combination of these two flows gave a better result compared to laminar and turbulent flows separately. The best results were achieved by varying the spin and speed, the time between spins, and the rest time. The time it would take to dissolve the mixture was drastically reduced if it were conducted in the traditional way (manually) or compared with commercial mixers. In conclusion, the technique used for the dissolution of agricultural minerals is more effective and reduces time, energy, and effort. This was able to reduce the time necessary to dissolve the fertilizer by 93 percent compared to doing it manually and by 66 percent compared to using commercial mixers, in a solution of 100 L of water per 100 kg of ammonium sulfate.
