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Displaying 2256 - 2258 of 2258Inferring Missing Climate Data for Agricultural Planning Using Bayesian Networks
Climate data availability plays a key role in development processes of policies, services, and planning in the agricultural sector. However, data at the spatial or temporal resolution required is often lacking, or certain values are missing. In this work, we propose to use a Bayesian network approach to generate data for missing variables. As a case study, we use relative humidity, which is an important indicator of land suitability for coffee production.
Satellite Monitoring of Vegetation Response to Precipitation and Dust Storm Outbreaks in Gobi Desert Regions
Recently, droughts have become widespread in the Northern Hemisphere, including in Mongolia. The ground surface condition, particularly vegetation coverage, affects the occurrence of dust storms. The main sources of dust storms in the Asian region are the Taklimakan and Mongolian Gobi desert regions. In these regions, precipitation is one of the most important factors for growth of plants especially in arid and semi-arid land. The purpose of this study is to clarify the relationship between precipitation and vegetation cover dynamics over 29 years in the Gobi region.
Inclusive Businesses and Land Reform: Corporatization or Transformation?
Inclusive businesses (IBs), embodying partnerships between commercial agribusinesses and smallholder farmers/low-income communities, are considered to contribute towards rural development and agricultural sector transformation. Structured as complex organizational set-ups consisting of, and overcoming the limitations of, standard inclusive instruments (collective organization, mentorship, supply contract, lease/management contract and equity), they allow for the inclusion of smallholders and low-income communities into commercial agricultural value chains.