Research@Lincoln is an open access institutional repository collecting the research produced by Lincoln University staff and students. You may also be interested in Lincoln University Living Heritage.
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Does mowing before grazing increase dry matter intake and milk yield?
(New Zealand Society of Animal Production, 2016)Mowing pasture before allocation of herbage to dairy cows is one management strategy suggested to improve feed quality, increase herbage dry matter (DM) intake and increase milk solids yield. To test these hypotheses, ... -
Dietary preference of dairy cows for perennial ryegrass cultivars growing with and without white clover
(New Zealand Society of Animal Production, 2016)Dietary preference of dairy cows for eight perennial ryegrass cultivars (AberMagic, Alto, Base, Bealey, Commando, Kamo, One50 and Prospect) growing with and without white clover was examined at two vegetative stages (May ... -
Dry matter intake and body condition score change of dairy cows grazing fodder beet, kale and kale-oat forage systems in winter
(NZGA, 2014)Crop dry matter (DM) yield, DM utilisation and body condition score (BCS) of dairy cows were measured over two winters on an irrigated stony, free-draining Balmoral soil for three crop grazing systems: fodder beet (FB); ... -
The Christchurch Urban Design Panel: Its role and influence on residential development within central city Christchurch post-earthquake : A dissertation submitted in partial fulfilment of the requirements for the Degree of Master of Planning at Lincoln University
(Lincoln University, 2020)During the 21st century, New Zealand has experienced increasing public concern over the quality of the design and appearance of new developments, and their effects on the urban environment. In response to this, a number ... -
Real time mobile based license plate recognition system with neural networks
(IOP Publishing Ltd, 2020)In this paper, the implementation of localizing and recognizing license plate in real time environment with a neural network using a mobile device is described. The neural networks used in this research are Convolutional ...
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