This study draws on social-psychology in an attempt to identify the various motivations for technology adoption (TA), including both economic and non-economic, and to gain insights into how and why Brazilian innovative beef farmers make decisions about whether or not to adopt particular technologies.

Visible and near-infrared diffuse reflectance spectroscopy (VIS-NIR) has shown levels of accuracy comparable to conventional laboratory methods for estimating soil properties. Soil chemical and physical properties have been predicted by reflectance spectroscopy successfully on subtropical and temperate soils, whereas soils from tropical agro-forest regions have received less attention, especially those from tropical rainforests. A spectral characterization provides a proficient pathway for soil characterization.

We present a model for research and development (R&D) investment in food innovations based on new plant engineering techniques (NPETs) and traditional hybridization methods. The framework combines uncertain and costly food innovation with consumers' willingness to pay (WTP) for the new food. The framework is applied with elicited WTP of French and US consumers for new improved apples. NPETs may be socially beneficial under full information and when the probability of success under NPETs is relatively high. Otherwise, the traditional hybridization is socially optimal.

This article extends social science research on big data and data platforms through a focus on agriculture, which has received relatively less attention than other sectors like health. In this paper, I use a responsible innovation framework to move attention to the social and ethical dimensions of big data “upstream,” to decision-making in the very selection of agricultural data and the building of its infrastructures.

As the world gets hotter and rainfall more erratic, the type and availability of ingredients for daily meals are changing.  With support from the Government of Canada and the Global Environment Facility’s Least Developed Countries Fund, the Canada-UNDP Climate Change Adaptation Facility (CCAF) has been supporting six least developed countries and small island developing states (Cabo Verde, Cambodia, Haiti, Mali, Niger and Sudan) to strengthen climate resilience and enhance food security.  To better understand and share the experiences from these six countries, and to celebrate some of the s

As climate change continues to drive food insecurity, addressing the risks of climate change across the value chain – especially agricultural products that are important to food and nutrition security – will yield significant adaptation benefits to vulnerable small producers and rural communities at large. This will support global efforts to end hunger and poverty, build more effective farming practices that reduce greenhouse gas emissions, and accelerate the ambition of Nationally Determined Contributions to the Paris Agreement.