The demand for maize as food and feed has been steadily increasing.

Maize is one of five major crops grown in the uplands of Thailand, along with rice, cassava, sugar cane, and rubber trees. Government-promoted crop diversification, increased population growth, improved transportation networks, inter national trade, expansion of upland farming areas, and increased demand for grains from the domestic livestock and poultry industry stimulated Thailand’s maize production beginning in the 1980s. However, Thailand’s domestic maize supply is currently not sufficient to meet the needs of its in-country demands, and small quantities have to be imported. This study characterized the social and biophysical maize production environment of Thailand; examined its response to increasing maize demand; determined constraints to future productivity growth; indicated the potential environmental consequences, and examined the options available for promoting sustainable growth in maize production.

Maize is the second most important food crop in Vietnam after rice.

This report presents the life cycle inventories of the five studied crops. Section 2 of the document presents the type of data that can be sourced from the database, the data collection methods, and highlights the data gaps. Section three presents the life cycle inventory providing information on the data and data sources, assumptions and data gaps and how these were addressed. The Annexes provide information on crop yield distributions, data on nitrogen application rates, pesticide use and information on field processes and machinery use.

The study examines private sector participation in rice and (yellow) maize markets in five (5) ASEAN countries, namely Indonesia, Malaysia, the Philippines, Thailand, and Vietnam, with the objective of identifying the potential role that it could play to provide greater regional food security.

Kent's Technology of Cereals: An Introduction for Students of Food Science and Agriculture, Fifth Edition, is a classic and well-established book that continues to provide students, researchers and practitioners with an authoritative and comprehensive study of cereal technology. This new edition has been thoroughly updated with new sections, including extrusion cooking and the use of cereals for animal feed. In addition, it offers information on statistics, new products, the impact of climate changes and genetics, new economic trends, nutrition regulations and new technologies. The book is useful for students, researchers, and industrial practitioners alike, covering the full spectrum of cereal grain production, processing, and use for foods, feeds, fuels, industrial materials, and other uses. - Provides readers with a leader in cereal science literature - Includes new sections on extrusion cooking and the use of cereals for animal feed, along with information on statistics, new products, impact of climate changes and genetics, new economic trends, new nutrition regulations and new technologies - Useful for students, researchers and industrial practitioners alike

This book focuses solely on the issues of agriculture and forest productivity analysis with advanced modeling approaches to bring solutions to food-insecure regions of South and Southeast Asia. Advanced modeling tools and their use in regional planning provide an outstanding opportunity to contribute toward food production and environments. In this book, leading-edge research methodologies related to remote sensing and geospatial variability of soil, water, and regional agricultural production indicators and their applications are introduced together—a unique feature of the book is the domain of regional policy perspectives and allied fields. In regional policy planning, agriculture and forestry have a key role in food security and environmental conservation that depends on the geo-spatial variability of these factors. Over the years, nature and climate have determined the variability of soil type, soil quality, geographical deviation for habitat, water quality, water sources, urban influences, population growth, carbon stock levels, and water resources with rain-fed or irrigated land use practices. In addition, human nutritional values and dietary habits have brought cultural adaptation of either mono- or multi-cropping patterns in the region. To encompass all these above mentioned factors and classify regional variability for policy planning, satellite remote sensing and geographical information systems have the immense potential to increase agricultural and forest productivity to ensure the resilience of its sustainability. Therefore, the 13 chapters presented in this book introduce modeling techniques using the signatures of vegetation and water indices, land use and land change dynamics, climatic, and socioeconomic criteria through spatial, temporal, and statistical analysis. As well, remote sensing and in-depth GIS analysis are integrated with machine and deep learning algorithms to address natural uncertainties such as flash floods, droughts, and cyclones in agricultural production management.