This book reviews recent advances in the application of phenotyping techniques to optimise crop breeding programmes. Chapters discuss the use of phenotyping as a means of improving crop yield, boosting genetic gain and identifying desirable traits in crop roots.
Intelligent Data Mining and Fusion Systems in Agriculture presents methods of computational intelligence and data fusion that have applications in agriculture for the non-destructive testing of agricultural products and crop condition monitoring. Sections cover the combination of sensors with artificial intelligence architectures in precision agriculture, including algorithms, bio-inspired hierarchical neural maps, and novelty detection algorithms capable of detecting sudden changes in different conditions. This book offers advanced students and entry-level professionals in agricultural science and engineering, geography and geoinformation science an in-depth overview of the connection between decision-making in agricultural operations and the decision support features offered by advanced computational intelligence algorithms. - Covers crop protection, automation in agriculture, artificial intelligence in agriculture, sensing and Internet of Things (IoTs) in agriculture - Addresses AI use in weed management, disease detection, yield prediction and crop production - Utilizes case studies to provide real-world insights and direction
For nearly a century, scientific advances have fueled progress in U.S. agriculture to enable American producers to deliver safe and abundant food domestically and provide a trade surplus in bulk and high-value agricultural commodities and foods. Today, the U.S. food and agricultural enterprise faces formidable challenges that will test its long-term sustainability, competitiveness, and resilience. On its current path, future productivity in the U.S. agricultural system is likely to come with trade-offs. The success of agriculture is tied to natural systems, and these systems are showing signs of stress, even more so with the change in climate. More than a third of the food produced is unconsumed, an unacceptable loss of food and nutrients at a time of heightened global food demand. Increased food animal production to meet greater demand will generate more greenhouse gas emissions and excess animal waste. The U.S. food supply is generally secure, but is not immune to the costly and deadly shocks of continuing outbreaks of food-borne illness or to the constant threat of pests and pathogens to crops, livestock, and poultry. U.S. farmers and producers are at the front lines and will need more tools to manage the pressures they face. Science Breakthroughs to Advance Food and Agricultural Research by 2030 identifies innovative, emerging scientific advances for making the U.S. food and agricultural system more efficient, resilient, and sustainable. This report explores the availability of relatively new scientific developments across all disciplines that could accelerate progress toward these goals. It identifies the most promising scientific breakthroughs that could have the greatest positive impact on food and agriculture, and that are possible to achieve in the next decade (by 2030).
This book covers smart agricultural space and its further development with an emphasis on ultra-saving labor shortages using AI-based technologies. A transboundary approach, as well as artificial intelligence (AI) and big data for bioinformatics, are required to increase timeliness and supplement the labor shortages, ensure the safety of intangible labor migration system to achieve one of the sustainable development goals (SDG) to secure food security (Society 5.0, SDG 1 and 2). With this in mind, the book focuses on the solution through smart Internet of Things (IoT) and AI-based agriculture, such as automation navigation, insect infestation, and decreasing agricultural inputs such as water and fertilizer, to maintain food security while ensuring environmental sustainability. Readers will gain a solid foundation for developing new knowledge through the in-depth research and education orientation of the book on how the deployment of outdoor and indoor sensors, AI/machine learning (ML), and IoT setups for sensing, tracking, collection, processing, and storing information over cloud platforms is nurturing and driving the pace of smart agriculture outdoor and indoors at this current time. Furthermore, the book introduces the smart system for automation challenges that are important for an unmanned system for considering safety and security points. The book is designed for researchers, graduates, and undergraduate students working in any area of machine learning, deep learning in agricultural engineering, smart agriculture, and environmental science. The greatest care has been made to deliver a diverse range of resource areas, as well as enormous insights into the significance and scope of IoT, AI, and ML in the development of intelligent digital farming and smart agriculture, providing comprehensive information to the intended readers.
Unmanned Aerial Systems for Monitoring Soil, Vegetation, and Riverine Environments provides an overview of how unmanned aerial systems have revolutionized our capability to monitor river systems, soil characteristics, and related processes at unparalleled spatio-temporal resolutions. This capability has enabled enhancements in our capacity to describe water cycle and hydrological processes. The book includes guidelines, technical advice, and practical experience to support practitioners and scientists in increasing the efficiency of monitoring with the help of UAS. The book contains field survey datasets to use as practical exercises, allowing proposed techniques and methods to be applied to real world case studies. - Includes a summary of technical UAS issues allowing readers to focus on how the exact technology fits their scientific question - Provides specific applications enabling readers to understand the benefits and threats within the field - Includes a comprehensive literature review in each chapter, allowing readers to know the key players and research in the field
This volume aims to provide a timely view of the state-of-the-art in systems biology. The editors take the opportunity to define systems biology as they and the contributing authors see it, and this will lay the groundwork for future studies. The volume is well-suited to both students and researchers interested in the methods of systems biology. Although the focus is on plant systems biology, the proposed material could be suitably applied to any organism.
To satisfy the food demands of the global population, advanced technology based research is needed, that can extract the information from the plant metabolism and microbial gene pool and use it for improving plant health and productivity. Modern biotechnological tools have the ability to unlock the limitations of agricultural practices. However, the application of these tools is not well equipped. Moreover, eco-friendly agriculture by microbial inoculants is known to have positive influences on soil/plant health. Therefore it is relevant to explore the plant associated microbial niches, especially endophytes, epiphytes, and soil microbes and understand how they are benefitting each other. It can open new insights to develop sustainable agriculture practices by using consortia of microbes as plant helpers that recover the imbalanced agriculture systems and manage pathogenic diseases. This book presents the updates about the plant associated microbiomes and their contemporary uses. It covers the knowledge gap between soil and plant helper microbiomes and their application in the agriculture and allied sectors. Modern insights of phytobiomes are explored in various chapters on a variety of interrelated aspects of the fascinating areas like plant microbial interaction, integrated pest management, soil fertility intensification, sustainable crop production, and disease management. Sections in the book describe how to plant beneficial microbiomes have been utilized for sustainable green farming, with the aim to resolve the global food problem without harming the soil and environment health. This book is intended for everyone who is involved in agriculture, microbial biotechnology, bioinformatics, and all disciplines related to microbial biotechnology. These include academic students, scientists, and researchers at universities, institutes, industries, and government organizations who want to understand microbial linkages in a shorter time. It contains basic information that will be help to the non-specialist readers to understand progressive research.