The book "Mathematical models of biological production processes" by G. Yu. Riznichenko and A. B. Rubin is a fascinating and in-depth study that opens up the world of mathematical modeling in biology to readers. In this work, the authors seek to combine two seemingly distant from each other worlds - mathematics and biology, and do it with such passion and skill that even those who are not experts in these areas will be able to appreciate the beauty and complexity of the processes occurring in living nature. The book is intended for a wide audience: from undergraduate and graduate students studying biological sciences and mathematics, to professionals working in the field of ecology, agronomy and bioinformatics. It will be of interest to those who want to understand how mathematical models can help in predicting and optimizing biological processes, such as population growth, ecosystem development, and crop productivity. Readers interested in modern approaches to the study of biology will find in the book many useful ideas and practical examples. The authors raise important topics related to the application of mathematical models for the analysis of biological systems. They explore how mathematical tools can be used to describe population dynamics, species interactions, and the influence of various factors on biological processes. The book focuses on the fact that understanding these processes not only contributes to scientific discoveries, but also has practical implications for solving pressing problems, such as environmental protection and sustainable agriculture. The style of the authors is clear and accessible, which allows the reader to easily assimilate complex concepts. Riznichenko and Rubin use many real-life examples to demonstrate how mathematical models can be applied in practice. This makes the book not only a teaching tool, but also a fascinating read for anyone interested in how science can help us better understand the world around us. In addition, the authors share their knowledge and experience, which gives the book special value. They not only explain theoretical aspects, but also offer practical recommendations for the creation and use of mathematical models. This makes “Mathematical models of biological production processes” an indispensable resource for researchers and practitioners seeking to apply modern methods in their work. If you are looking for literature that combines scientific rigor and practical utility, then this book will be an excellent choice. It is ideal for those who want to deepen their knowledge in the field of mathematical modeling and its application in biology. Readers interested in topics such as ecology, population biology and agronomy will find in it many valuable ideas and inspirations. In conclusion, “Mathematical models of biological production processes” is not just a book, it is a whole world in which you immerse yourself, opening up new horizons of science. It inspires further research and encourages reflection on how mathematics can help us better understand and save our planet. Do not miss the opportunity to get acquainted with this fascinating work, which can change your perception of both biology and mathematics.