UAS-Platforms for Research, Phenotyping and Precision Management

Transcription

1 UAS-Platforms for Research, Phenotyping and Precision Management Juan Landivar (1), Murilo Maeda (1), Josh McGinty (2), Jinha Jung (3), Anjin Chang (3), Juan Enciso (4), Andrea Maeda (1) (1)Texas A&M AgriLife Research, Corpus Christi, TX, (2)Texas A&M AgriLife Extension, Corpus Christi, TX, (3)Texas A&M University - Corpus Christi, Corpus Christi, TX, (4) Texas A&M AgriLife Research, Weslaco, TX, Precision Cotton Working Group Improving Life through Science and Technology.

2 Objectives of AgriLife-TAMU-CC Remote Sensing Technology Program Data analysis & visualization Platforms and Sensors Data interpretation, Applications

3 REMOTE SENSING TECHNOLOGY FOR PHENOTYPING AND PRECISION MANAGEMENT APPLICATIONS

4 Remote Sensing Equipment: Ground based Platform Multi Spectrum Infrared Canopy Temperature GPS Antenna Air T & RH Sensors

5 UAS Equipment, Server and Software(2015) <DJI Phantom 2> Computational platform Intel i7 5820K (3.3 GHz) processor (6 cores with 12 threads) 64 GB Quad channel DDR4 memory GTX 960 2GB superclocked GPU with 1,024 CUDA cores Vision Plus Structure from Motion (SfM) Pix4D Photoscan Pro Opendronemap Geospatial data products Orthomosaic image 3D point clouds DEM

6 Cotton Phenotyping Texas A&M AgriLife Research and Extension Center Corpus Christi, Texas 35 commercial cultivars, replicated 4 times, total of 140 plots. (2 rows, 40 long), both rows were machine harvested on 08/10

7 22 Blocks (1 m 2 ) /Entry (Plant height and canopy cover, NDVI and canopy temperature, open boll count)

8 Data Analysis Plant Height Mosaic Images DSM (Digital Surface Model) DEM(Digital Elevation Model), DSM was generated from UAS data DEM was generated from ground point (about 150 points) selected manually CHM Crop Height Map <DSM> <DEM> <CHM>

9 Growth Analysis of Plant Height Development Cultivar 16, Rep. 1. SeedCotton Yield = 3236 lb/a 35 Inch Growth Rate (m/day) (m/day) Max Growth Rate = 4.0 cm At 57 DAP Duration = 19 Days Fitting sigmoid curves X axis: days after planting Y axis: Plant Height Simplest sigmoid equation

10 Cultivar 26, Rep. 1. Harvest SC Yield = 1386 lb./a 31 Inch Growth Rate (m/day) Max Growth Rate = 3.35 cm At 60 DAP Duration = 21 Days Fitting sigmoid curves X axis: days after planting Y axis: Plant Height Simplest sigmoid equation

11 Spectral Analysis Canopy Cover Drawing individual crop grid Yellow line: center line of each row Red box: individual crop grid Grid sized: 1 1 m Binary canopy classification 3 parameters Red/Green, Blue/Green 2 Green Red - Green Canopy cover estimation - Area of white in each grid /total area

12 Canopy Cover June 27, 2015

13 EXAMPLE OF CANOPY COVER ESTIMATION FROM UAV IMAGES Average per entry for each date Canopy Cover (%) Days After Planting

14 3500 Yield (Lb. SC / Acre) vs Canopy Cover at June 26th 3000 Yield A B C D F Canopy Cover (%) Yield (Lb. SC / Acre) vs Canopy Cover at July Yield A B C D F Canopy Cover (%)

15 3500 Yield (Lb. SC / Acre) vs NDVI, June 26th 3000 Yield A B C D F NDVI 3500 Yield (Lb. SC / Acre) vs CWSI June 26th 3000 Yield A B C D F CWSI

16 Monitoring Crop Maturity Dow (Phytogen) cultivar evaluation test Altitude: 30 m (above ground) Programmed mission using Pix4D capture app Processed with Agisoft Photoscan Pro Orthomosaic & 3D point cloud data Resulting spatial resolution: 8 mm 07/24/ /29/ /05/2015

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18 Low High Lint Yield

19 Precision Management Plant Height Map, King Ranch, Kingsville, Texas J. Landivar, S. Searcy and S. Yang, June Precision Pix Applications Defoliation Time and Rate Nematodes Fertility, Etc.

20 Crop Height Model at Individual Crop Grid Level <2015/06/03> <2015/06/11> <2015/06/18> <2015/06/23> <2015/07/02> <2015/07/10> <2015/07/17> <2015/07/24> <2015/07/29> <2015/08/05> <2015/08/14>

21 Growth Curve Analysis Grid level <Growth Height> <Growth Rate>

22 Variable Application Rate (ml/ha) Aggressive Less Aggressive

23 Conclusions 1. Canopy Cover is an important seedcotton yield component 2. NDVI and canopy temperature can help fine tune selection of elite genotypes 3. Growth analysis of plant height and canopy cover development appears to be a promising diagnostic tool 4. Open boll analysis can be an important variable for phenotyping

24 Enhance Sensors Platform Larger Octocopter Lidar & GPS Hyper Spectral camera Infra red camera Future Work Data Analysis Develop software to extract data and analyze seasonal changes in plant height, canopy cover, NDVI, and canopy temperature. Evaluate sensors and develop software to analyze crop maturity, open boll counts and yield Data Interpretation Develop automated procedures to quantify crop responses to experimental treatments and assist in the selection elite genotypes Develop precision management applications

25 Thank you Dr. Jinha Jung TAMU CC Our Thanks to TSSC Cotton Incorporated, Dow AgroSciences Shell Oil Company Texas A&M AgriLife Seed Bioenergy Funds Office of the Director (AgriLife Research) Dr. Murilo Maeda AgriLife Res. Dr. Anjin Chang TAMU CC AgriLife Ms. Andrea Maeda AgriLife Res. Dr. Juan Enciso AgriLife Res. Dr. Josh McGinty AgriLife Ext.