Showing results for: Agricultural innovation
This book gives examples of practices and tools that can help agriculture adapt to climate change, focusing on Japan and other nearby Asian countries.
This book discusses how networks of wireless sensors could be used in African agriculture, e.g. to minimise conflicts between wildlife, people and livestock, or to monitor livestock health.
The book Food for All in Africa: Sustainable Intensification for African Farmers argues that the way forward for African agriculture is to produce greater yields with fewer inputs such as fertilisers and pesticides.
This report by US think tank ReThinkX examines the implications of ongoing disruptions to livestock industries. It predicts that current livestock production will be replaced to a large extent by a “Food-as-Software” model, where food can be engineered on the molecular level and produced using “precision fermentation”, e.g. using engineered microorganisms to produce proteins that mimic milk proteins.
FCRN member Susanne Freidberg of Dartmouth College has written this paper about the difficulties that companies such as food manufacturers face in gathering data about their food supply chains and using that data to promote sustainability. The paper is based on over fifty semi-structured interviews with companies and analysis of their data collection tools.
FCRN member David Cleveland has co-authored this book, which addresses how food gardens can be used by people to respond to climate change through both adaptation and mitigation.
The book Grilled: Turning adversaries into allies to change the chicken industry describes how animal rights campaigner Leah Garcés sought to change the industry by engaging poultry producers in a dialogue instead of shaming them.
This report from the US non-profit Croatan Institute quantifies the current US landscape of investments in regenerative agriculture, including in-depth analyses across asset classes (such as farmland and venture capital), and presents a series of recommendations for investors and stakeholders to build soil health and community wealth through regenerative agriculture.
FCRN member Peter Alexander has co-authored this paper, which finds that incremental improvements in several areas of the food system (including production efficiency, reducing food waste and changing diets) could reduce agricultural land use by between 21% and 37%, depending on adoption rates.
New York public policy action tank Brighter Green has published this policy paper, which gives an overview of the state of the plant-based and cellular meat and dairy industries as well as a critique of the criticisms and an effort to reconcile competing concerns and values.
This paper, co-authored by FCRN member Alexandra Sexton (who is part of Oxford’s Livestock, Environment and People project), identifies key moments in the field of cellular agriculture from the past two decades. The first wave of largely university-based research lasted until the 2013 presentation of the cultured burger created at Maastricht University, while the second wave has seen the emergence of a start-up culture.
This report from the Food and Agriculture Organisation of the United Nations (FAO) and international humanitarian agency CARE provides advice, tools and successful examples on integrating gender equality and women’s empowerment into programmes on climate-smart agriculture.
This book examines the impacts that climate change is expected to have on food security and also explores the contribution to food security that could come from wild relatives of food crops.
This report from UK supermarket Sainsbury’s sets out predictions for how the food system might be in the years 2025, 2050 and 2169. Near-term predictions include milk made from algae, and increased numbers of flexitarian eaters, while long-term predictions include farming in inhospitable landscapes such as deserts or Mars, and personal microchip implants that tell us exactly what nutrition we need.
This paper presents a newly developed open-source system for precision agriculture in lettuce production. The system, known as AirSurf, uses a lightweight manned aircraft to gather images of lettuce fields, then a deep learning algorithm assesses the state of the lettuce crops on a number of characteristics, including lettuce size and number per field.