This is a book aimed at a broad church but, in my view, is most suited to numerate agronomists with an interest in the use of computational methods at the more applied end of science. The nature of the area demands a wide range of techniques and Singh's book bravely attempts to cover the key elements in one volume. Thus, there is a need to strongly focus on the most relevant elements and avoid the temptation to cover too many topics in insufficient depth, and it is here that I thought the book fell a little short. For example, in my view this book spends too much time on computer implementation and not enough time on analysis. Programming style, languages and pieces of code are a matter of experience and taste, and are also quickly outdated. Analysis techniques are less subjective, evolve more slowly and are key to reaching a better understanding of what we observe. That is not to say that Singh ignores this aspect, however, I doubt if the depth is sufficient to inform the student to a level where she/he could apply the techniques without the need to resort to other books. That said, the later chapters covering numerous examples of applications are a a particular strength of the book. The book refers to the 1984 edition of Mathematical Models in Agriculture by France and Thornley. Students considering moving in to this area might usefully compare Singh's book to the more recent 2007 edition of France and Thornley.