Impact of Precision Agriculture - Terry Griffin - 5
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This document summarizes a presentation on the profitability of precision agriculture given by Terry Griffin. It discusses farmers' increasing adoption of precision agriculture technologies over time, with GPS yield monitors and automated guidance being the most widely used. It also examines factors that influence farmers' likelihood of adopting other technologies. While information-intensive technologies require additional data and skills, embodied-knowledge technologies need minimal additional resources. The document outlines current precision agriculture utilization rates and trends in the profitability of various precision services over time. It stresses the importance of data quality and provides examples of how yield monitor data can be cleaned and filtered.
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Benefits of using a Drone
Dynamic Remotely Operated Navigation Equipment is abbreviated as DRONE.
A Drone, in a technological context, is an unmanned aircraft. Drones are more formally known as Unmanned Aerial Vehicles (UAVs) or Unmanned Aircraft Systems (UASes). Essentially, a drone is a flying robot. The aircrafts may be remotely controlled or can fly autonomously through software-controlled flight plans in their embedded systems working in conjunction with on-board sensors and GPS.
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NDVI Presentation-by Steve Caldwell-PROMO - Copy
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#29 SUSB Expo 2014 PIX4D
Pix4D is a photogrammetry software company that was founded in 2011 as an EPFL spin-off. Their flagship product, Pix4Dmapper, allows users to easily convert thousands of aerial images into 2D maps and 3D models. Pix4D is focused on the UAV market and has over 1,000 software licenses sold. They are opening new offices in the US and China and are starting to address the agriculture market through their new Pix4D Cloud platform.
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Agriculture Technology Transferred By Extension By Allah Dad Khan Former DG ...
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Generation of high resolution DSM using UAV Images
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All the datasets required for this project have been downloaded from the popular Trimble Company.This project makes use of 27 high resolution (2.4 cm average spatial resolution) UAV-acquired images of a sand mine at Tielt-Winge, Belgium . These images have been acquired by a Sony Nex-5R digital camera mounted on a Trimble UX5 Imaging Rover, a fixed wing UAV. Three software: LPS, AgiSoft PhotoScan and PIX4D were used for image processing.
The team members:
1.Uttam Pudasaini : utmpudasaini@hotmail.com
2.Niroj Panta : sadrose777@gmail.com
3.Biplov Bhandari : bionicbiplov45@gmail.com
4.Upendra Oli : Upendraoli@gmail.com
Usages and Challenges of using DRONES in Reconstruction Efforts of NEPAL
Drones can help with reconstruction efforts in Nepal in several ways:
1. They can create high-resolution maps and 3D models to assist with infrastructure planning, vulnerability mapping of landslides, and volumetric analysis of rubble piles.
2. Drones can capture images to extract building footprints and infrastructure features to create updated base maps for planning rehabilitation efforts.
3. Drones allow condition assessments of damaged structures through close-range photos and thermal imaging to identify cracks in buildings and other issues.
However, there are also challenges to using drones in Nepal, including strict regulations imposed after the earthquake due to security and privacy concerns over aerial footage taken without permission. Permissions must be obtained from the Civil Aviation
Precision agriculture
This document discusses precision agriculture and provides an overview of key concepts:
1. Precision agriculture aims to optimize field management to match crop needs, protect the environment, and boost farm economics through efficient practices.
2. It involves characterizing field variability, making decisions based on soil maps and sensor data, and implementing variable-rate technology.
3. Current trends include high-accuracy GPS, input management like variable-rate fertilizer application, and information management tools to aid decision-making.
4. The document describes technologies like guidance systems, drones, wireless sensors, and yield mapping that are part of precision agriculture approaches.
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Foto Udara menggunakan Pesawat tanpa awak - UAV
UAV memiliki beberapa keunggulan untuk pemetaan seperti fleksibilitas waktu dan operasional, biaya investasi dan operasional yang lebih rendah dibanding pesawat berawak, mampu terbang dibawah awan, resolusi yang lebih tajam, dan sistem yang cepat, akurat, serta otomatis. UAV dapat menghasilkan citra dengan resolusi tinggi untuk kebutuhan pemetaan dengan biaya yang lebih rendah dibanding metode konvensional.
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7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
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FOOD OBESITY IN NORTH AMERICA ( NEW).pptx
FOOD OBESITY IN AMERICA AND MARKETING CAMPAIGNS ESTABLISHED TO DEFEAT IT
Heritage Conservation.Strategies and Options for Preserving India Heritage
Presentation looks at the role , relevance and importance of built and natural heritage, issues faced by heritage in the Indian context and options which can be leveraged to preserve and conserve the heritage.It also lists the challenges faced by the heritage due to rapid urbanisation, land speculation and commercialisation in the urban areas. In addition, ppt lays down the roadmap for the preservation, conservation and making value addition to the available heritage by making it integral part of the planning , designing and management of the human settlements.
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Heritage Conservation.Strategies and Options for Preserving India Heritage
Heritage Conservation.Strategies and Options for Preserving India Heritage
Impact of Precision Agriculture - Terry Griffin - 5
- 1. The Profitability of Precision Ag in Times of Increased Financial Vulnerability Terry Griffin, PhD, CCA Cropping Systems Economist Department of Agricultural Economics @SpacePlowboy #PrecisionAg #farmData #EOCC17 Eastern Ontario Crop Conference Kemptville, ON February 14, 2017
- 2. Farmer’s Use of Precision Ag 0 25 50 75 100 1995 1997 1999 2001 2003 2005 2007 2009 2011 2013 2015 PercentofFarms Automated Guidance Lightbar Automated Section Control Precision Soil Samplin Yield Monitor Yield Monitor with GPS Variable Rate Fert. Variable Rate Seed N=348
- 3. Proportion of Farms' Adoption of Precision Probability of Adopting… Given… Soil Sampling VR Fertility VR Seed GPS Yield Monitor Automated Guidance Soil Sampling - 59% 30% 65% 87% VR Fertility 92% - 37% 68% 92% VR Seed 75% 60% - 86% 98% GPS Yield Monitor 69% 46% 36% - 97% Automated Guidance 55% 37% 24% 58% - N=358
- 4. Adopting, upgrading, and abandoning Number of Farms % abandonedTechnology adopt abandon upgrading abandon (adjusted)** Yield Monitor 147 60 54 6 4 Lightbar 202 57 45 12 6 Precision Soil Sampling 149 6 NA 6 4 Variable Rate Fertility 94 3 NA 3 3 Yield Monitor w/GPS 142 2 NA 2 1 N=358
- 5. Tale of Two Technologies Information-intensive • Field level data to make decisions • Requires additional data and skill • IPM Embodied-knowledge • Information purchased in the form of an input • Requires minimal additional data/skill • Round-up Ready or Bt
- 6. Two Faces of Precision Agriculture Information-intensive • Yield monitors • Traditional variable rate applications • *Data Embodied-knowledge • Automated guidance • On-the-go sensors applying variable rates • *Automated
- 7. Precision ag bundles 0% 20% 40% 60% 80% 100% 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 %ofUsers YM, PSS, & VR PSS & VR YM & VR YM & PSS Variable Rate (VR) Precision Soil Sampling (PSS) Yield Monitor (YM) None
- 8. Probability of transitioning none PSS PSS VR VR YM YM PSS YM PSS VR YM VR none 0.94 0.01 0.01 0.01 0.04 0.01 0.01 0.01 PSS 0.01 0.82 0.04 0 0 0.12 0.01 0 PSS VR 0.01 0 0.94 0 0 0 0.05 0 VR 0 0 0 0.53 0 0 0 0.47 YM 0.01 0 0 0 0.90 0.04 0.03 0.03 YM PSS 0 0 0.01 0 0.01 0.89 0.11 0 YM PSS VR 0 0 0 0 0 0.01 0.99 0.01 YM VR 0.12 0 0 0 0.01 0 0.10 0.77 YM = Yield monitor VR = Variable rate PSS = Precision soil sampling From To
- 9. Current precision ag utilization • 20% use telematics in 2015 – Up from 15% in 2013 • Most common (72%) soil grid size = 2.5 ac – Smaller grid sizes used only 13% of time • 16% of service providers use UAVs Erickson & Widmar, 2015
- 10. Profitability over time 34% 42% 42% 40% 36% 44% 44% 45% 44% 62% 35% 33% 39% 42% 34% 47% 50% 51% 60% 74% 41% 33% 43% 44% 45% 49% 51% 58% 63% 75% 26% 27% 20% 30% 25% 25% 22% 20% 21% 20% 18% 22% 13% 21% 19% 15% 19% 26% 11% 14% 31% 37% 39% 38% 44% 43% 43% 42% 51% 60% 0% 10% 20% 30% 40% 50% 60% 70% 80% 2003 2004 2005 2006 2007 2008 2009 2011 2013 2015 %ofrespondentsofferingprecisionservicesmaking aprofit Soil Sampling Single Variable Rate Application Multi Variable Rate Application Satellite Imagery Yield Monitor Data Analysis Total Precision Package 2015 Base: 261 Erickson & Widmar, 2015
- 11. Farm Data Quality & Value • Yield monitor data is great, but… – Sensor calibration crucial – Yield cleaning necessary – Data ≠ truth
- 12. USDA ARS Yield Editor Raw data from combine yield monitor
- 14. Advanced data cleaning algorithm
- 17. Farm Data Quality Litmus Test #1 Flow delay set correctly: not jagged edges. “field in focus”
- 18. Summary • UAVs and drones • Automated equipment • Data and information technologies
- 19. Terry Griffin Cropping Systems Economist twgriffin@ksu.edu 501.249.6360 @SpacePlowboy Would love to hear from you about your thoughts!