Population growth and climate change challenge our food and farming systems and provide arguments for an increased intensification of agriculture. A promising option is eco-functional intensification through organic farming, an approach based on using and enhancing internal natural resources and processes to secure and improve agricultural productivity, while minimizing negative environmental i...

production, reproduction, management and economic parameters resulted from recordings of 5 flocks comprised of 720 heads of native goats during annual cycle of reproduction in transhumance, village and farming systems were employed to determine the performance of traits, cost-profit analysis as well as breeding objective. the overall mean for number of salable kid per goat in transhumance, vill...

The advent of scientific shrimp farming in India during 1990-91 not only boosted shrimp production but also attracted criticism on the grounds of generating adverse environmental and social impact challenging the sustainability of the system. Thus while examining the performance of alternative shrimp farming systems incorporating of the cost of negative externalities generated by shrimp farming...

Organic farming practices have been promoted as, inter alia, reducing the environmental impacts of agriculture. This meta-analysis systematically analyses published studies that compare environmental impacts of organic and conventional farming in Europe. The results show that organic farming practices generally have positive impacts on the environment per unit of area, but not necessarily per p...

In modern farming, it is indispensable to monitor the field environment, crop conditions, and farming operations. To support these activities at farm level, we have developed several types of farm operation monitoring systems based on various needs of farms. FVS (Farming Visualization System) is one of such systems and designed in order to record and replay all the information of farming operat...

Data Farming, network applications and approaches to integrate network analysis and processes to the data farming paradigm are presented as approaches to address complex system questions. Data Farming is a quantified approach that examines questions in large possibility spaces using modeling and simulation. It evaluates whole landscapes of outcomes to draw insights from outcome distributions an...