Building Agribusiness Capacity in East Timor (BACET) directly contributes to USAID/Timor-Leste’s agriculture and workforce development strategies for economic growth. Though categorized as a capacity building and workforce development activity, many of the key activities of BACET have included infrastructure improvements, which are longer-term in nature. Similarly, teacher training and changed teaching methods have long-term impact. 

Building Agribusiness Capacity in East Timor (BACET) directly contributes to USAID/Timor-Leste’s agriculture and workforce development strategies for economic growth. Though categorized as a capacity building and workforce development activity, many of the key activities of BACET have included infrastructure improvements, which are longer-term in nature. Similarly, teacher training and changed teaching methods have long-term impact. 

Building Agribusiness Capacity in East Timor (BACET) directly contributes to USAID/Timor-Leste’s agriculture and workforce development strategies for economic growth. Though categorized as a capacity building and workforce development activity, many of the key activities of BACET have included infrastructure improvements, which are longer-term in nature. Similarly, teacher training and changed teaching methods have long-term impact. 

The Improved Agriculture for Smallholders Western Kenya (TASK) is one of five projects in the five-year USAID funded Development Assistance Program (DAP) II referred to as Sustainable Livelihood Security for Vulnerable Households program in Nyanza province. It aims to improve, in a sustainable manner, food and livelihood security for 4500 vulnerable households in 7 districts in Nyanza province.

Georeferenced data are a key factor in many decision-making systems. However, their interpretation is user and context dependent so that, for each situation, data analysts have to interpret them, a time-consuming task. One approach to alleviate this task, is the use of semantic annotations to store the produced information. Annotating data is however hard to perform and prone to errors, especially when executed manually. This difficulty increases with the amount of data to annotate.

One of the most important challenges for the researchers in the 21st Century is related to global heating and climate change that can have as consequence the intensification of natural hazards. Another problem of changes in the Earth's climate is its impact in the agriculture production. In this scenario, application of statistical models as well as development of new methods become very important to aid in the analyses of climate from ground-based stations and outputs of forecasting models. Additionally, remote sensing images have been used to improve the monitoring of crop yields.