Instant Insights Improving Crop Disease Management

This specially curated collection features four reviews of current and key research on improving crop disease management. The first chapter reviews strategies for limiting foliar disease development in wheat and barley crops, such as crop rotations, intercropping, gene deployment and conservation tillage. It explores the effectiveness of each strategy against particular foliar diseases, as well as how these strategies can be deployed to reduce inoculum sources for residue-borne cereal leaf diseases. The second chapter considers the use of integrated disease management (IDM) to prevent or reduce yield loss in wheat. The chapter reviews the tactics/tools used in IDM, such as scouting, disease identification and chemical control, and explores how these tactics can be implemented to maximise the effectiveness of managing diseases in wheat. The third chapter assesses how IDM can be applied to barley production and considers the different disease threats, the tools available and possible approaches to deploying them. It also reviews the role of agronomy and how it can be used to optimise these tools. The final chapter reviews the use of IDM in grain legume production and explores the deployment of traditional strategies, such as field and crop management, as well as advanced monitoring methods, modelling and molecular methods to control disease outbreaks in grain legumes. What is an Instant Insight? An Instant Insight gives you immediate access to key research on a topic, allowing you to get right to the heart of a subject in an instant and empowering you to contribute to sustainable agriculture.

This collection provides a comprehensive overview of the recent advances in crop pest monitoring and forecasting models. Chapters address emerging technologies in the area, as well as some of the issues and challenges that can arise as a result of implementing particular models.

This collection features five peer-reviewed literature reviews on decision support systems (DSS) in agriculture. The first chapter provides a review of DSS in agriculture, whilst addressing the key questions surrounding their use for farm soil and crop management. The different aspects of agricultural DSS design, implementation and operation are also discussed. The second chapter assesses the role of DSS for pest monitoring and management through information technology such as, remote sensing, GIS, spectral indices, image-based diagnostics, and phenology-based degree day models. The third chapter discusses the potential of implementing DSS within the growing mechanisation in greenhouses. It examines differences in development and application of deterministic explanatory and data-based models for real-time control and DSS. The fourth chapter explores the key issues associated with deploying DSS in precision agriculture, whilst also considering their human and social aspects. The chapter also considers how future research on DSS can be moulded to improve productivity in a precision agriculture setting. The final chapter outlines the importance of a participatory approach in DSS development, whilst also offering examples of climate-based DSS for crop and land management, pest and disease management, and livestock (dairy) management. What is an Instant Insight? An Instant Insight gives you immediate access to key research on a topic, allowing you to get right to the heart of a subject in an instant and empowering you to contribute to sustainable agriculture.

This reference text presents the knowledge base of computer vision and soft computing techniques with their applications for sustainable developments. Features: ∙ Covers a variety of deep learning architectures useful for computer vision tasks. ∙ Demonstrates the use of different soft computing techniques and their applications for different computer vision tasks. ∙ Highlights the unified strengths of hybrid techniques based on deep learning and soft computing taken together that give the interpretable, adaptive, and optimized solution to a given problem. ∙ Addresses the different issues and further research opportunities in computer vision and soft computing. ∙ Describes all the concepts with practical examples and case studies with appropriate performance measures that validate the applicability of the respective technique to a certain domain. ∙ Considers recent real word problems and the prospective solutions to these problems. This book will be useful to researchers, students, faculty, and industry personnel who are eager to explore the power of deep learning and soft computing for different computer vision tasks.

This book provides an account of the classical and recent trends in plant sciences, which have contributed for disease management strategies in plants for sustainable agriculture. Advancements in the disciplines of biological sciences like biotechnology, microbiology, bioinformatics as well as information and communication technology etc has given the new dimensions for the development of new plant disease management strategies. By keeping this perspective in view, the editors collected and compiled the useful, practical and recent information regarding plant disease management from a diverse group of authors from different countries associated with well-reputed scientific, teaching and research organizations with the objective to update and equip the researchers with comprehensive and latest knowledge of plant disease management. This book is based on the knowledge of traditional and modern approaches for plant disease management. It has 15 chapters, each chapter describing the pillar strategies, which may be the possible way for crop protection from diseases.This effort deals with the history and recent trends in plant disease control, plant genetics and physiology in disease prognosis, conventional plant breeding program for disease resistance, synthetic chemicals: major component of plant disease management, biological antagonism: expected safe and sustainable way to manage plant diseases , soil microbes and plant health, conventional and modern technologies for the management of post-harvest diseases, nanobiotechnology, an innovative plant disease management approach, transgenic approaches in plants: strategic control for disease management, exploiting RNAi mechanism in plants for disease resistance, genome editing technologies for resistance against phytopathogens: principles, applications and future prospects, plant health clinics in Pakistan: operations and prospects, precision agriculture technologies for management of plant disease, quarantine and regulations and development and implementation of IDM program for annual and perennial crops.

Cover crops slow erosion, improve soil, smother weeds, enhance nutrient and moisture availability, help control many pests and bring a host of other benefits to your farm. At the same time, they can reduce costs, increase profits and even create new sources of income. You¿ll reap dividends on your cover crop investments for years, since their benefits accumulate over the long term. This book will help you find which ones are right for you. Captures farmer and other research results from the past ten years. The authors verified the info. from the 2nd ed., added new results and updated farmer profiles and research data, and added 2 chap. Includes maps and charts, detailed narratives about individual cover crop species, and chap. about aspects of cover cropping.