Understanding Agriculture


Book Description

This book responds to the widespread recognition among experts that our educational system needs to change in order to provide the skills and knowledge necessary to ensure the future vitality of U.S. agriculture. Understanding Agriculture focuses on agricultural literacy (education about agriculture) and vocational agricultural education (education in agriculture). The section on agricultural literacy addresses the teaching of science through agriculture, teacher education and training, model educational programs, community support, and agricultural career exploration programs. Vocational agricultural education is examined in terms of program enrollment, availability and content, supervised occupational experiences, the Future Farmers of America program, and teacher education and supply.




Deep Learning for Sustainable Agriculture


Book Description

The evolution of deep learning models, combined with with advances in the Internet of Things and sensor technology, has gained more importance for weather forecasting, plant disease detection, underground water detection, soil quality, crop condition monitoring, and many other issues in the field of agriculture. agriculture. Deep Learning for Sustainable Agriculture discusses topics such as the impactful role of deep learning during the analysis of sustainable agriculture data and how deep learning can help farmers make better decisions. It also considers the latest deep learning techniques for effective agriculture data management, as well as the standards established by international organizations in related fields. The book provides advanced students and professionals in agricultural science and engineering, geography, and geospatial technology science with an in-depth explanation of the relationship between agricultural inference and the decision-support amenities offered by an advanced mathematical evolutionary algorithm. - Introduces new deep learning models developed to address sustainable solutions for issues related to agriculture - Provides reviews on the latest intelligent technologies and algorithms related to the state-of-the-art methodologies of monitoring and mitigation of sustainable agriculture - Illustrates through case studies how deep learning has been used to address a variety of agricultural diseases that are currently on the cutting edge - Delivers an accessible explanation of artificial intelligence algorithms, making it easier for the reader to implement or use them in their own agricultural domain




Teaching and Learning in Urban Agricultural Community Contexts


Book Description

This book fills a void in the literature around how urban agricultural education can be used to create opportunities to educate youth and citizens who live in urban areas about growing food. To date, very little has been written about program design and the impact of such experiences on learning outcomes. In fact, most of the journal articles and research to date has focused on access, contextual factors, sustainability, relevance of urban agricultural education, and the intersection of science of agriculture. This book will cover such topics as how urban youth learn science while engaged in urban agriculture programs, how such programs support youth in becoming interested about healthy eating and science more generally, and how to design urban agriculture programs in support of STEM education. The chapters in this book are written by educational researchers and each chapter has been reviewed by researchers and practitioners.




Who Grew My Soup?


Book Description

Young Phineas Quinn is suspicious of the vegetable soup his mom serves for lunch. Phin declares he won't slup a single spoonful until he knows where his soup comes from! Much to Phin's surprise, a man in a flying tomato balloon shows up to answer this stirring question!




Science Teachers' Learning


Book Description

Currently, many states are adopting the Next Generation Science Standards (NGSS) or are revising their own state standards in ways that reflect the NGSS. For students and schools, the implementation of any science standards rests with teachers. For those teachers, an evolving understanding about how best to teach science represents a significant transition in the way science is currently taught in most classrooms and it will require most science teachers to change how they teach. That change will require learning opportunities for teachers that reinforce and expand their knowledge of the major ideas and concepts in science, their familiarity with a range of instructional strategies, and the skills to implement those strategies in the classroom. Providing these kinds of learning opportunities in turn will require profound changes to current approaches to supporting teachers' learning across their careers, from their initial training to continuing professional development. A teacher's capability to improve students' scientific understanding is heavily influenced by the school and district in which they work, the community in which the school is located, and the larger professional communities to which they belong. Science Teachers' Learning provides guidance for schools and districts on how best to support teachers' learning and how to implement successful programs for professional development. This report makes actionable recommendations for science teachers' learning that take a broad view of what is known about science education, how and when teachers learn, and education policies that directly and indirectly shape what teachers are able to learn and teach. The challenge of developing the expertise teachers need to implement the NGSS presents an opportunity to rethink professional learning for science teachers. Science Teachers' Learning will be a valuable resource for classrooms, departments, schools, districts, and professional organizations as they move to new ways to teach science.




Systems Research for Agriculture


Book Description




Science Breakthroughs to Advance Food and Agricultural Research by 2030


Book Description

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).