This book has the ambition of presenting sustainability issues in a simple way to students in the field of agriculture and the environment. There is much diversity in the viewpoints on the meaning of sustainability. Sustainability must be made operational in each specific context and scaled, and appropriate methods must be designed to achieve long-term goals for the environment, agriculture, energy and food security. The ultimate goal of the environment and agriculture is protecting soil and water to ensure food security for the growing population. This book discusses the integration of views pertaining to the sustainability of agriculture, the environment, renewable energy and food security.

This book addresses the important question of how large a role bioproduction and renewable energy can play in achieving sustainable agricultural practices in the present system of agricultural production. Understanding bioproduction engineering and development can help improve the efficiency of sustainable agriculture and future renewable energy resources. With the aim of understanding this question, this book focuses on bioproduction and sustainability issues, covering sensors, agricultural decision making systems and the relationship between bioproduction and sustainable practices of agriculture. Topics discussed include information oriented technology that can be implemented to address the variability of bioproduction systems; sensors and control systems; precision agricultural technology; decision support systems in agriculture; renewable energy resources; and analytical hierarchy processes for agricultural management. This material will appeal to a wide range of readers and is designed as a resource for graduate and undergraduate students working in any area of agricultural engineering, crop sciences, or environmental science disciplines. The book also includes questions and sample model problems to allow readers to practice implementing the modelling tools.

Crop production varies spatially and temporally within the field boundaries depending on soil and environmental conditions. The major concern of variability for agronomic inputs addresses how best to intervene in the right place, at the right time and in the right quantity to improve the potential yield of crops and feedstock. This book addresses the important question of how large a role bioproduction and renewable energy can play in achieving sustainable agricultural practices in the present system of agricultural production. Agronomy is local, which brings the challenges to the remote optimisation of agricultural machinery operations for seeding, fertilising, crop protecting, and harvesting in the field level to adopt precise agriculture technologies. Cloud computing and big data analytics bring the potential about in machine optimisation and agronomy to enable the site-specific management. Understanding bioproduction engineering and development can help improve the efficiency of a sustainable agriculture system. With the aim of understanding this process, this book focuses on bioproduction and sustainability issues, covering sensors, agricultural decision-making systems and the relationship between bioproduction and sustainable practices of agriculture. The chapters are organised as follows: information oriented technology that can be implemented to address the variability of bioproduction systems, sensors and control systems, precision agricultural technology, decision support systems in agriculture, renewable energy resources and analytical hierarchy processes for agricultural management. The crop growth monitoring parameters like LAI and NDVI points were clarified in the pre-processing stage of images. The decisions and logistics that influence the market prices of agricultural products is emphasised within the revised edition of this book.