One of the main problems in the poultry industry is the search for a viable replacement for antibiotic growth promoters. This issue requires a “one health” approach because the uncontrolled use of antibiotics in poultry can lead to the development of antimicrobial resistance, which is a concern not only in animals, but for humans as well. One of the promising ways to overcome this challenge is found in probiotics due to their wide range of features and mechanisms of action for health promotion. Moreover, spore-forming probiotics are suitable for use in the poultry industry because of their unique ability, encapsulation, granting them protection from the harshest conditions and resulting in improved availability for hosts’ organisms. This review summarizes the information on gastrointestinal tract microbiota of poultry and their interaction with commensal and probiotic spore-forming bacteria. One of the most important topics of this review is the absence of uniformity in spore-forming probiotic trials in poultry. In our opinion, this problem can be solved by the creation of standards and checklists for these kinds of trials such as those used for pre-clinical and clinical trials in human medicine. Last but not least, this review covers problems and challenges related to spore-forming probiotic manufacturing.
In this paper we introduce a novel Depth-Aware Video Saliency approach to predict human focus of attention when viewing RGBD videos on regular 2D screens. We train a generative convolutional neural network which predicts a saliency map for a frame, given the fixation map of the previous frame. Saliency estimation in this scenario is highly important since in the near future 3D video content will be easily acquired and yet hard to display. This can be explained, on the one hand, by the dramatic improvement of 3D-capable acquisition equipment. On the other hand, despite the considerable progress in 3D display technologies, most of the 3D displays are still expensive and require wearing special glasses. To evaluate the performance of our approach, we present a new comprehensive database of eye-fixation ground-truth for RGBD videos. Our experiments indicate that integrating depth into video saliency calculation is beneficial. We demonstrate that our approach outperforms state-of-the-art methods for video saliency, achieving 15% relative improvement.
The article is devoted to the problem of creating methodological foundations for research on the processes of machine use in agriculture. The basic approaches and principles of the formation of domain models are outlined, as the output processes of the functioning of the technological system of tillage and depth of cultivation are taken. A mathematical model of the process of depth of soil cultivation is proposed, which allows the implementation of research using modern software and hardware systems through a computer experiment.
In the “Q-factor” laboratory of the Don State Technical University, seeding planters are created with the original design of sowing devices, using modern materials and technologies. The design of a row seeding planter is considered, which allows coordinating the speed of the seed and the speed of the unit for a better sowing process. A new classification feature in the design of the row precise seeding planter is designated - the height of the sowing device from the bottom of the furrow. The characteristic features of the constructions of serial seeding planters on the basis of the aforecited feature were identified and analyzed. The rationale for the need to improve the technological process of sowing seeds of row crops by serial seeding planters is given. The problem is indicated, which is the lack of automation in controlling the precision sowing process during the operation of the seeding planters. A functional diagram and design of a sowing device with a seed tube is proposed, in which the ability to control the flight speed of seeds directly during sowing is implemented. A setup for testing the sowing device is presented with the aim of increasing the accuracy of determining the parameters of the operating modes of the sowing device of precise seeding planters in laboratory conditions. The results of laboratory experiments are obtained, which makes it possible to judge the possibility of controlling the speed of seeds directly during sowing process.
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