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Nitrogen Fertilizer Software
7 software items found
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Manufactured by:BUCHI based inFlawil, SWITZERLAND
NIRCal is a powerful chemometric software package to develop robust NIR methods which lead to fast and reliable NIR prediction ...
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Manufactured by:BUCHI based inFlawil, SWITZERLAND
Operating a BUCHI FT-NIR spectrometer without advanced expertise is easy thanks to the intuitive NIRWare operator software. The bi-directional LIMS interface allows flexible and secure data exchange with full traceability. The suite, in combination with the NIRAnywhere software, allows centralized administration of multiple BUCHI spectrometers within a global or local company ...
by:Agricon GmbH based inJahnatal, GERMANY
Apply nitrogen fertilizer in verious proportions. ...
by:Spacenus GmbH based inDarmstadt, GERMANY
Our Nitrogen recommendation services optimize fertilizer use for regenerative farming, maximizing yield and environmental stewardship. We foster trusted relationships with farmers by providing tailored, data-driven ...
Manufactured by:Yara UK Ltd. based inPocklington, UNITED KINGDOM
As a global leader in nitrogen (N) fertiliser production, Yara's key ambition in the next decade is to build a nature-positive food future. Yara Research and Development created Atfarm in 2018 to help farmers reach these goals. In today's world when nitrogen fertiliser prices are volatile and their usage is regulated more every year, tools like Atfarm bring the power of technology to your fields ...
by:Visual and AI Solutions (VAIS) Inc. based inWilmington, DELAWARE (USA)
Powered by our pioneering VFP and SSM technologies, VAIS FarmGuru is the most comprehensive digital agriculture platform in the market that specifically targets climate-smart agriculture, offering farmers the tools and features necessary to thrive in a changing climate while ensuring sustainable and resilient farming ...
by:SoilBeat based inWijnjewoude, NETHERLANDS
Unlocking Insights for Maximizing Profit with SoilBeat, In the world of modern agriculture, agronomists are constantly seeking ways to optimize crop yields, improve resource efficiency, and promote sustainable farming practices. A key factor in achieving these goals is the effective use of data. However, it's not just about the quantity of data but the quality and comprehensiveness of information ...
