Grid Sampling: Point vs. Random

Slides:



Advertisements
Similar presentations
GPS/GIS Applications in Agriculture
Advertisements

What is the purpose of this presentation? n Provide a better understanding of site specific yield information and the value that it can bring to your.
Crop Science 6 Fall Crop Science 6 Fall 2004 What is Precision Agriculture?? The practice of managing specific field areas based on variability.
©2005 Austin Troy. All rights reserved Lecture 3: Introduction to GIS Understanding Spatial Data Structures by Austin Troy, University of Vermont.
Samples vs. Distributions Distributions: Discrete Random Variable Distributions: Continuous Random Variable Another Situation: Sample of Data.
Echelon – Who Are We? Echelon was an independent agricultural management consulting firm based out of Weyburn, SK Echelon joined the CPS family on Oct.
 Errors or differences in Soil samples ◦ Collection method > laboratory ◦ Environment > laboratory  Field Variability ◦ Composite sample no matter area.
Precision Farming Profitability Reference C: Soil Sampling and Analysis By Sylvie Brouder, Mark Morgan.
Cost Analysis of Using Soil Electrical Conductivity Information for Precision Management in Cotton Production J.A. Larson R.K. Roberts B.C. English C.
Overview Importance of using GIS Software, GPS Hardware, and Site Specific Data Management for farm management Past and Present / Future Levels of crop.
Importance of Soil Testing
Agronomic Spatial Variability and Resolution What is it? How do we describe it? What does it imply for precision management?
What is Precision Agriculture?
AGVISE Laboratories %Zone or Grid Samples – Northwood laboratory % Grid or Zone Samples Tested Compared To Total Number of Samples Tested.
Agronomic Spatial Variability and Resolution What is it? How do we describe it? What does it imply for precision management?
Spatial Variability in Precision Agriculture What is it? What is it? – Precision n. The quality or state of being precise. Used or intended for precise.
Sensors for Mapping Soil pH Eric Lund, Veris Technologies, Salina, KS Sensors for Crop Management Conference Stillwater OK January 17, 2008.
1413 E. Poplar St. Algona, IA Ph:
Precision Agriculture an Overview. Need for Precision Agriculture (1) l In 1970, 190,500,000 ha classified as arable and permanent cropland in the USA.
Trend for Precision Soil Testing % Zone or Grid Samples Tested compared to Total Samples.
Sensors Role In Agriculture
Applications of Spatial Statistics in Ecology Introduction.
The Glory of the farmer is that, in the division of labors, it’s his part to create. Emerson Help farmers make some money, and they will share it with.
 Why do we sample our soil?  Soil chemistry or biology testing  Identify field variability.
Chapter 3: Soil Sampling And Soil Sensing
Agronomy Consulting and Soil Sampling in Precision Ag. By Josh Pittman.
Economically Raising Nitrogen Use Efficiency By: Paul Hodgen.
Katlynn Weathers Soil 4213 April 10,  What is precision agriculture?  What makes it so special?  How can grid soil sampling help?
Precision Agriculture an Overview. Precision Agriculture? Human need Environment –Hypoxia –$750,000,000 (excess N flowing down the Mississippi river/yr)
Spatial Variability in Precision Agriculture What is it? What is it? – Precision n. The quality or state of being precise. Used or intended for precise.
Agronomic Spatial Variability and Resolution What is it? How do we describe it? What does it imply for precision management?
Sensors vs. Map Based Precision Farming Chris Sechrest.
Trend for Precision Soil Testing % Zone or Grid Samples Tested compared to Total Samples.
Trend for Precision Soil Testing % Zone or Grid Samples Tested compared to Total Samples.
Trend for Precision Soil Testing % Zone or Grid Samples Tested compared to Total Samples.
Soil Sampling for Fertilizer and Lime Recommendations.
Precision agriculture for Development
Grid Soil sampling.
Grid Soil Sampling Brian Arnall.
What is Precision Agriculture?
Current GPS and other Precision Agriculture Adoption in Agriculture
Fig. 2. Effect of curcumin on urine albumin levels and 24-hour albumin/creatinine ratio (ACR). (A) At 45 weeks of age, urinary albumin levels of the CUR.
Spatial Variability in Precision Agriculture
Design of Experiments.
%Zone or Grid Samples Tested Compared to Conventional Whole Field Composite Samples in 2017
Precision Nutrient Management: Grid-Sampling Basis
Agronomic Spatial Variability and Resolution
Precision Agriculture an Overview
Statistical surfaces: DEM’s
Oklahoma State University February 2002
Preparing a soluble salt
%Zone or Grid Samples Tested Compared to Conventional Whole Field Composite Samples in 2016
Management Zones Starr Holtz SOIL 4213 April 26, 2006.
Oklahoma State University
The Normal Probability Distribution Summary
Precision Ag Use by Today's Agronomists
Agronomic Spatial Variability and Resolution
!'!!. = pt >pt > \ ___,..___,..
ચાલો માટી વિશે જાણીએ All About Soil.
Grid Files (Another example)
Agronomic Spatial Variability and Resolution
%Zone or Grid Samples Tested Compared to Conventional Whole Field Composite Samples in 2014
Sampling Distribution of the Mean
Agronomic Spatial Variability and Resolution
Cell sizes Cells are often too small to be seen with the naked eye
Agronomic Spatial Variability and Resolution
%Zone or Grid Samples Tested Compared to Conventional Whole Field Composite Samples in 2016
Introduction to Producing Data
Design of Experiments.
A Data Partitioning Scheme for Spatial Regression
Presentation transcript:

Grid Sampling: Point vs. Random Precision Agriculture February 2, 2001

Grid Sampling

Grid Sampling

Cell-random STP

Soil test pH Area ave =5.9; CV = 11 Pt. ave = 6.0; CV = 11 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 Soil test pH Area ave =5.9; CV = 11 Pt. ave = 6.0; CV = 11

Lime requirement Area ave =0.81; CV = 40 Pt. ave = 0.64; CV = 58 1 2 3 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 Lime requirement Area ave =0.81; CV = 40 Pt. ave = 0.64; CV = 58

Soil test-P Area ave = 139; CV = 55 Pt. ave = 144; CV = 51 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 Soil test-P Area ave = 139; CV = 55 Pt. ave = 144; CV = 51

Soil test-K Area ave = 193; CV = 23 Pt. ave = 199; CV = 25 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 Soil test-K Area ave = 193; CV = 23 Pt. ave = 199; CV = 25

Grid Sampling: Point vs. Random Summary: Generally, there is little difference between point and random sampling of a cell in a field-grid. Two of 24 cells differed by more than 100 % (STP) and are likely a result of high variability within the 1-acre cells. Either approach may be useful to identify “management zones”, where adjacent cells may be treated similar with production inputs. Spatial variability appears to decrease as resolution increases (e.g. size of area under inspection decreases)