Lincoln Agritech
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Recent Submissions
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Improving accuracy of quantifying nitrate removal performance and enhancing understanding of processes in woodchip bioreactors using high-frequency data
(Elsevier, 2023-07-01)Woodchip bioreactors have gained popularity in many countries as a conservation practice for reducing nitrate load to freshwater. However, current methods for assessing their performance may be inadequate when nitrate ... -
Optimal sample size and composition for crop classification with Sen2-Agri’s random forest classifier
(MPDI, 2023-02-01)Sen2-Agri is a software system that was developed to facilitate the use of multi-temporal satellite data for crop classification with a random forest (RF) classifier in an operational setting. It automatically ingests and ... -
Diverse approaches to learning with immersive Virtual Reality identified from a systematic review
(Elsevier, 2023-04)To investigate how learning in immersive Virtual Reality was designed in contemporary educational studies, this systematic literature review identified nine design features and analysed 219 empirical studies on the designs ... -
Simulating water and nitrogen runoff with APSIM
(Elsevier, 2023-03)To determine the impact of potential reductions of terrain-targeted nitrogen (N) fertilisation rates on N losses a simulation study was carried out using the Agricultural Production Systems Simulator (APSIM). To simulate ... -
Deriving transmission losses in ephemeral rivers using satellite imagery and machine learning
(Copernicus Publications on behalf of the European Geosciences Union, 2023)Transmission losses are the loss in the flow volume of a river as water moves downstream. These losses provide crucial ecosystem services, particularly in ephemeral and intermittent river systems. Transmission losses can ...