The Neglected Governance Challenges of Agricultural Mechanization in Africa
This paper presents a case study on the governance challenges of agricultural mechanisation in Ghana.
PARI research focuses on identifying and scaling promising agricultural innovations for agricultural growth and food security in Africa and India.
This paper presents a case study on the governance challenges of agricultural mechanisation in Ghana.
This paper assesses the impact of farmer innovation household income and consumption expenditure for innovators.
Using data from rural Ghana, this paper aims to add new empirical insights into the impact of farmer innovation by focusing on resilience to climate shocks.
This policy brief analyses which governance challenges must be addressed to make mechanization economically, socially and environmentally sustainable.
The crop model SIMPLACE was used in this study and it was tested against FAO statistics to evaluate the model performance under the current management conditions with traditional cultivars and average nitrogen application rates.
The inter-comparison of 29 wheat models showed that uncertainty in simulated wheat yield from different models increases with rising temperature, which provides the background and forms the basis for our current study.
The article discusses the importance of information on the extent to which crop yields are affected by specific extreme weather events to guide extension services and policy making or support crop breeding efforts.
The present study involves an extensive stocktaking exercise of the types of innovations that have emerged globally and in India in particular, and their increasing impact on the agricultural sector
Agriculture in India – a breeding ground for innovation
PARI Interim Report 2016
The Food-Recommender is an android-based application which offers food recommendations based on an analysis of anthropometrics and food intake.
The study evaluated the importance of inter-annual attainable yield variability for the magnitude of the yield gap by utilizing data for wheat and maize at ten sites representing some major food production systems and a large range of climate and soil conditions across the world.