The evolution of mobile phone applications has opened up a platform for easy and real time dissemination and exchange of agricultural information among agricultural extension officers, farmers, agricultural institutions and non-governmental institutions. This study examined attitude, knowledge and constraint associated with the use of mobile phone apps by farmers in North West region of Nigeria. A descriptive survey design was adopted; data collection tool was pre-tested and administered as interview schedule to randomly sampled farmers.

Improvements in the sustainability of agricultural production depend essentially on advances in the efficient use of nitrogen. Precision farming promises solutions in this respect. Variable rate technologies allow the right quantities of fertilizer to be applied at the right place. This helps to both maintain yields and avoid nitrogen losses. However, these technologies are still not widely adopted, especially in small-scale farming systems. Recent developments in sensing technologies, like drones or satellites, open up new opportunities for variable rate technologies.

A range of approaches and financial instruments have been used to stimulate and support innovation in agriculture and resolve interlocking constraints for uptake at scale. These include innovation platforms, results-based payments, value chain approaches, grants and prizes, incubators, participatory work with farmer networks, and many more.

CONTEXT

Big data applications in agriculture evolve fast, as more experience, applications, good practices and computational power become available. Actual solutions to real-life problems are scarce. What characterizes the adoption of big data problems to solutions and to what extent is there a match between them?

OBJECTIVE

We aim to assess the conditions of the adoption of big data technologies in agricultural applications, based on the investigation of twelve real-life practical use cases in the precision agriculture and livestock domain.

METHODS

To respond to the vast needs in Tanganyika, DRC, the United Nations Food and Agriculture Organization (FAO) and the World Food Programme (WFP) are implementing an integrated programme to build community resilience and strengthen agricultural value chains. Despite its vast natural resources, the DRC faces the largest hunger crisis in the world. The country continues to experience prolonged conflict – particularly in the east – contributing to large-scale population displacements, disrupting agricultural activities and impeding access to markets, schools and healthcare.

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.