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The cattle raising activity in the Amazon has generated degradation of millions of hectares of grasslands, associated to economical decadence due to the low productivity and a series of global factors, requiring thus alternatives capable of overcoming these limitations, in addition to the ability to re-incorporate this great land extension to the productive process. In this sense, this project aims to evaluate, adapt and develop innovating systems of integration agriculture-cattle farming (LP), Status: Completed Start date: Tue Feb 01 00:00:00 GMT-03:00 2011 |
Family farming is an economically important segment nationwide, but has many weaknesses of social and technological order. Parallel to this, concerns about the negative environmental impacts of agriculture, livestock and forestry are getting increasingly important on the agenda of society, and the use of inadequate agricultural practices is one of the main causes of degradation of cultivated areas. Given the growing worldwide demand for food, fiber, wood and biofuels, and the consequent need for Status: Completed Start date: Thu May 01 00:00:00 GMT-03:00 2014 |
The project aims to estimate carbon balance in different grain production system scenarios in the major Brazilian biomes, ranking those that reduce the consequences of climate change, via computational simulators. The information generated in this project will be used in the project "Classification and spatialization of grain production systems with the use of remote sensing", aiming to produce regional estimates of the carbon balance and GHG emissions for Brazil's entire grain production area. ... Status: Completed Start date: Sat Sep 01 00:00:00 GMT-03:00 2012 |
The aim of this project was to strengthen the SUSTRURAL array - a set of Embrapa projects related to environmental rehabilitation and compliance in the rural landscape of the Atlantic Rainforest in Southern and Southeastern Brazil - based on deeper integration and training of component members. Status: Completed Start date: Mon Feb 01 00:00:00 GMT-03:00 2016 |