The Newsletter of the Tropical Agriculture Platform (TAP) provides regular updates on global activities by TAP and its partners, on the CDAIS projects and on upcoming related events. This issue specifically refers to the period from July 2020 to September 2020, including also some activities of October 2020.
The Newsletter of the Tropical Agriculture Platform (TAP) provides regular updates on global activities by TAP and its partners, on the CDAIS projects and on upcoming related events. This issue specifically refers to the period from April 2020 to June 2020, including also some activities of July 2020.
The Newsletter of the Tropical Agriculture Platform (TAP) provides regular updates on global activities by TAP and its partners, on the CDAIS projects and on upcoming related events. This issue specifically refers to the period from October 2020 to January 2021, including also some activities of February 2021.
Poverty is prevalent in the small-farm sector of many developing countries. A large literature suggests that contract farming —a preharvest agreement between farmers and buyers— can facilitate smallholder market participation, improve household welfare, and promote rural development. These findings have influenced the development policy debate, but the external validity of the extant evidence is limited. Available studies typically focus on a single contract scheme or on a small geographical area in one country.
Mainstream agricultural research has focused primarily on technical and biological aspects and is aimed at controlling or manipulating nature through the use of external inputs, such as
agricultural chemicals or super seed. In developing countries, the results of this research have benefited some resource-rich farmers in well-endowed areas, were suitable to only a limited
extent for poorer farmers in the more favourable areas, and were - in most cases - completely inappropriate for small-scale farmers in marginal areas, e.g. in the mountains or the drylands.
Despite the concept's widespread popularity, the terminology surrounding missions can come across as convoluted. This is understandable, given that the term - which denotes ambitious, time bound, cross-sectoral and measurable policy objectives to address grand societal challenges such as climate change mitigation, biosphere restoration or tackling health inequities - has proven to be both deceptively intricate and remarkably versatile.
Internet of Things (IoT) technology plays an important role in advancing the transformation of labor-intensive traditional agriculture into data-driven smart farming by providing technological and theoretical support to address the challenges of food shortages caused by rapid population growth, as well as the sustainable development challenges posed by the scarcity of natural resources due to climate warming. IoT smart farming is a multidisciplinary field encompassing agricultural knowledge, communication technologies, automation, artificial intelligence, and computing.
Smallholder farmers in developing countries often suffer from high risk and limited market access. Contract farming may improve the situation under certain conditions. Several studies analyzed effects of contracts on smallholder productivity and income with mixed results. Most existing studies focused on one particular contract scheme. Contract characteristics rarely differ within one scheme, so little is known about how different contract characteristics may influence the benefits for smallholders.
This document ains to update the inventory of existing functional promising agricultural innovations in Nigeria. The salient results from this study are as follows: 116 technologies were identified nationally during the review period (2006-2014). The strongest or most frequent triggers of innovation include yield improvement, resistance to pests and diseases, wide ecological adaptation, high quality cassava flour, HQCF, shorter time to maturity, drought resistance, seed or grain colour, malting quality and grain weight or size.
This document intends to provide an analysis of the outcomes of the application of the TAP Common Framework in the eight countries of the Capacity Development for Agricultural Innovation Systems (CDAIS) project. The TAP Common Framework (TAP CF) was developed at the global level as an initial activity of the CDAIS project in order to guide capacity development (CD) and strengthening of Agricultural Innovation Systems (AIS). The project then tested this framework in eight pilot countries (Guatemala, Honduras, Burkina Faso, Angola, Rwanda, Ethiopia, Lao PDR, Bangladesh).