Discover how analysis by spectroscopy optimizes agriculture of grasslands with Near Infrared

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00:00:00 Introduction
00:00:17 Dr. ReddySr. Research Officer, Massey Agritech Partnership Research Centre
00:01:31 About ASD
00:02:29 Untitled
00:03:13 Presentation outline
00:03:41 Precision Agriculture
00:05:03 Importance of New Zealand Agriculture
00:05:49 New Zealand grasslands
00:07:52 Untitled
00:08:36 Methods used to estimate the pasture quality
00:09:48 Untitled
00:10:34 New Zealand weather
00:11:20 ASD FieldSpec with artificial probe
00:13:21 Study area and sampling
00:14:18 Model development
00:15:46 Independent validation models
00:16:17 Pasture parameters
00:16:52 Point scale to spatial and commercial scale
00:17:58 Traditional soil sampling
00:19:35 Precision Soil sampling
00:20:22 Hyperspectral Imaging
00:21:03 Airborne hyperspectral system
00:21:40 Hyperspectral image processing
00:22:53 Vegetation classification
00:23:52 Spatial canopy nutrient maps
00:24:43 Spatial soil fertility maps
00:25:37 Summary
00:26:30 Questions?
00:37:45 Thank You!

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.

Mais informações

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