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Clean energy projects win $1B in federal funds

Nov 15, 2024
By Farms.com

USDA boosts rural economy with green energy

Secretary Tom Vilsack has unveiled a plan under the Administration, with over $256 million allocated to over 1,100 clean energy and efficiency projects across the US.

This move, part of the Inflation Reduction Act's largest-ever climate investment, underscores a monumental step towards sustainable agricultural practices and enhanced rural infrastructure.

Among the notable projects, IPR Fresh in Arizona plans to power its operations entirely through newly installed solar panels, while Agriventures LLC in Georgia will upgrade its irrigation systems to save costs and conserve resources.

Additionally, in Washington, Hydro Technology Systems Inc. will implement a hydropower retrofit capable of energizing hundreds of homes.

These initiatives not only support the USDA’s objective to lower energy expenses and expand clean energy usage but also contribute significantly to local job creation.

The projects vary from solar and wind farms to biogas and geothermal energy, each tailored to meet the specific needs of the rural communities they serve.

The overarching aim of these investments is to ensure a resilient, equitable, and sustainable future for American agriculture, enhancing productivity and environmental health. This federal support empowers farmers and small business owners to adopt advanced technologies that improve their competitiveness and align with global environmental goals.


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Fendt Slicer - Automated adjustment of the conditioner intensity

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The Fendt Slicer explained: Grassland and forage stands show a high heterogeneous biomass growth when cut, which leads to different initial dry masses and drying speeds. The aim is to have a consistent dry matter content of 30 to 40% across the entire field. The Fendt Slicer 960/1010 Pro models with optional tine conditioner offer variable adjustment of the conditioner intensity thanks to the innovative ISOBUS control. The automatic adjustment is made using sensors in real time measurements or using application data based on the position registration of the biomass.