• Active optical sensing of canopies in pasture management 

  Roberts, Jessica; Suarez Infiesta, A.; Schäbitz, B.; Fourie, Jaco; Werner, Armin (NZ Grassland Association, 2015)

  Commercial units of Active Optical Sensor (AOS) systems are designed for sensing arable crops to estimate the required amount of nitrogen fertiliser and are well established in intensive arable cropping systems in ...
• Standards-based grading in a thermodynamics course 

  Post, Scott (International Association of Online Engineering, 2017)

  Standards based grading is a formal assessment mechanism that tests for student achievement of specified learning objectives, or standards. Standards-Based-Grading has been gaining in popularity in K-12 education, and also ...
• Urine patch detection using LiDAR technology to improve nitrogen use efficiency in grazed pastures 

  Roten, Rory; Fourie, Jaco; Owens, Jennifer; Trethewey, Jason A. K.; Ekanayake, Dinanjana; Werner, Armin; Irie, Kenji; Hagedorn, Michael; Cameron, Keith C. (Elsevier, 2017-04-01)

  In grazed dairy pastures, the largest N source for both nitrate (NO₃⁻) leaching and nitrous oxide (N₂O) emissions is urine-N excreted by the animals. Additional application of N on urine patches as fertilizer may increase ...
• Developing a comprehensive Drift Reduction Technology risk assessment scheme 

  Ferguson, J. C.; Hewitt, Andrew; Eastin, J. A.; Connell, Robert J.; Roten, Rory; Kruger, G. R. (De Gruyter Open on behalf of the Polish Academy of Sciences, Institute of Plant Protection - National Research Institute and the Polish Society of Plant Protection, Committee of Plant Protection, 2014-01-01)

  Drift Reduction Technologies (DRTs) are becoming increasingly important for improving spray applications in many countries including New Zealand (NZ). Although there is a growing database on the performance of DRTs, there ...
• Crop detection and positioning in the field using discriminant analysis and neural networks based on shape features 

  Kiani, S.; Jafari, Abdolabbas (Tarbiat Modares University, 2012)

  Development of an autonomous weeding machine requires a vision system capable of detecting and locating the position of the crop. It is important for the vision system to be able to recognize the accurate position of the ...

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