|00:00:17||Dr. ReddySr. Research Officer, Massey Agritech Partnership Research Centre|
|00:05:03||Importance of New Zealand Agriculture|
|00:05:49||New Zealand grasslands|
|00:08:36||Methods used to estimate the pasture quality|
|00:10:34||New Zealand weather|
|00:11:20||ASD FieldSpec with artificial probe|
|00:13:21||Study area and sampling|
|00:15:46||Independent validation models|
|00:16:52||Point scale to spatial and commercial scale|
|00:17:58||Traditional soil sampling|
|00:19:35||Precision Soil sampling|
|00:21:03||Airborne hyperspectral system|
|00:21:40||Hyperspectral image processing|
|00:23:52||Spatial canopy nutrient maps|
|00:24:43||Spatial soil fertility maps|
Discover how visible near-infrared (Vis-NIR) spectroscopy is used for remote sensing and ground truthing purposes to optimize grasslands in the end-to-end precision agriculture process. This webinar features Malvern Panalytical’s ASD FieldSpec® 4 Hi-Res spectroradiometer and guest speaker Dr. Pullanagari Reddy of Massey University of New Zealand – School of Agriculture and Environment.
Dr. Pullanagari Reddy was born and raised in an agricultural family in Mahabubnagar district located in the state of Telangana, India. He holds a Bachelor’s degree in Agriculture from Acharya NG Ranga Agriculture University (ANGRAU), Telangana, India, and a Master's degree in Agronomy from University of Agricultural Sciences (UAS), GKVK, Bangalore, Karnataka, India. He earned a PhD degree in an area of remote sensing from the School of Agriculture and Environment, Massey University, and has been working as a senior research officer in this same group since the completion of his PhD. Dr. Reddy’s main area of interest is precision agriculture studies where he works on hyperspectral sensing and imaging combined with advanced analytics such as machine learning and statistical learning techniques to create useful and robust information from the remote sensed data.
Who should attend?
Anyone interested in scientific analysis of agriculture.
What will you learn?
• Collecting hyperspectral data from pastures using the ASD FieldSpec in combination with artificial probe
• Characterizing and quantifying biophysical and biochemical features of pasture using remote sensing (proximal and airborne)
• Use of the ASD FieldSpec for ground truthing
• Implementing remote sensing techniques for end-to-end precision agriculture