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Cyrus McCormick patented and manufactured the reaper, an important 19th century invention that dramatically improved the efficiency of wheat farming. While McCormick did not invent the reaper solely by himself, he did refine and popularize it. His company eventually became the International Harvester Company.
Farming While Black is the first comprehensive "how to" guide for aspiring African-heritage growers to reclaim their dignity as agriculturists and for all farmers to understand the distinct, technical contributions of African-heritage people to sustainable agriculture. At Soul Fire Farm, author Leah Penniman co-created the Black and Latino Farmers Immersion (BLFI) program as a container for new farmers to share growing skills in a culturally relevant and supportive environment led by people of color. Farming While Black organizes and expands upon the curriculum of the BLFI to provide readers with a concise guide to all aspects of small-scale farming, from business planning to preserving the harvest. Throughout the chapters Penniman uplifts the wisdom of the African diasporic farmers and activists whose work informs the techniques described--from whole farm planning, soil fertility, seed selection, and agroecology, to using whole foods in culturally appropriate recipes, sharing stories of ancestors, and tools for healing from the trauma associated with slavery and economic exploitation on the land. Woven throughout the book is the story of Soul Fire Farm, a national leader in the food justice movement.--AMAZON.
Innovation in Small-Farm Agriculture: Improving Livelihoods and Sustainability is an invaluable resource focussing on the current state of knowledge and scientific advances about the complex and intertwined issues of innovation and how they relate to livelihood of small-scale farmers. This book exposes readers with a holistic overview on how agriculture is most associated with the development and transfer of technologies to farmers and their participation in research and development initiatives to improve the relevancy and usefulness of its outputs and innovation which is not well documented. The book offers comprehensive coverage of the most essential topics, including: Recent scientific advances on agricultural innovations for small farmers. Emphasizes on opportunities and constraints of techno-institutional paradigms. Highlight low-cost and eco-friendly interventions. Case studies on various innovations in agriculture spanning the different agricultural gamut.
In Japan, agriculture has been treated differently from other parts of the national economy.
Agriculture in Korea is under increasing pressure to meet changing domestic demand, improve its productivity to keep up with the country's competitive manufacturing sector, and become more competitive at the international level. To date, the government has offered extensive support to farm ...
The expansion of agricultural production in China has been remarkable, but at the expense of the sustainable use of its natural resources. To counter this, as well as to face problems due to rising labour costs and a rapidly ageing rural population, agricultural production must concentrate on a ...
Data Science for Agricultural Innovation and Productivity explores the transformation of agriculture through data-driven practices. This comprehensive book delves into the intersection of data science and farming, offering insights into the potential of big data analytics, machine learning, and IoT integration. Readers will find a wide range of topics covered in 10 chapters, including smart farming, AI applications, hydroponics, and robotics. Expert contributors, including researchers, practitioners, and academics in the fields of data science and agriculture, share their knowledge to provide readers with up-to-date insights and practical applications. The interdisciplinary emphasis of the book gives a well-rounded view of the subject. With real-world examples and case studies, this book demonstrates how data science is being successfully applied in agriculture, inspiring readers to explore new possibilities and contribute to the ongoing transformation of the agricultural sector. Sustainability and future outlook are the key themes, as the book explores how data science can promote environmentally conscious agricultural practices while addressing global food security concerns. Key Features: - Focus on data-driven agricultural practices - Comprehensive coverage of modern farming topics with an interdisciplinary perspective - Expert insights - Sustainability and future outlook -Highlights practical applications Data Science for Agricultural Innovation and Productivity is an essential resource for researchers, data scientists, farmers, agricultural technologists, students, educators, and anyone with an interest in the future of farming through data-driven agriculture.
This book elaborates on the transformation of agricultural development in China into the construction of a “resource and ecologically sound society”, and the coordinated development of industrialization, urbanization, and agricultural modernization in China. It focuses on the multiple goals of transforming the Chinese agricultural development model, inner motivations, approaches, and supporting systems under environmental and resource constraints. The author endeavors to build a theoretical framework for transforming agricultural development model in the construction of a “resource and ecologically sound society". To achieve this, the author addresses successively across seven chapters issues such as the multiple goals of China’s agricultural development transformation under resource and environmental constraints, the transformation of the utilization mode of resources, “resource and ecologically sound agriculture”–oriented agricultural production system transformation, the transformation of commercialized rural service system, and institutional innovations in the “resource and ecologically sound” agricultural transformation.