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Precision Carbon Management
Precision Conservation Management
Profitability, Adoption and Performance Evaluation
Robotics, Guidance and Automation
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Authors
Al Amin, A
Behrendt, K
Canavari, M
Carlson, G
Carter, P.G
Clay, D.E
Collins, H.P
Cruse, R
Drummond, S
DuPont, E.M
Follett, R
Franklin, K
Franklin, K.F
Gelder, B.K
Griffin, T.W
Grove, J
Gutteridge, M
Harsha Chepally, R
Heiniger, R
Herzmann, D
Huggins, D.R
Huggins, D.R
James, D
Kemanian, A.R
Kitchen, N
Kolar, P.R
Lambert, D.M
Li, Y
Long, D.S
Lowenberg-DeBoer, J
Lowenberg‑DeBoer, J
Medici, M
Pena-Yewtukhiw, E.M
Perry, E.M
Peterson, G
Pierce, F
Reitsma, K.D
Rossetti, G
Sadler, J
Sandoval-Green, C
Schumacher, T.E
Sharda, A
Sherrod, L.A
Short, E
Sklenar, T
Sudduth, K
Tatge, J
Uberuaga, D.P
Westfall, D
Yost, M.A
Young, S.L
Topics
Precision Carbon Management
Robotics, Guidance and Automation
Precision Conservation Management
Profitability, Adoption and Performance Evaluation
Type
Oral
Poster
Year
2010
2022
2016
2008
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Filter results20 paper(s) found.

1. Application Of Precision Agriculture In Carbon Farming Practices Using The Real-time Soil Sensor

... Y. Li

2. An Overview of Soil Carbon, Management, and Agricultural Systems

  Topics to be covered include a discussion of what soil carbon sequestration is, how and where in the soil it occurs, and its role in maintaining important soil properties. The author draws upon his experience and that of others about practices for various parts of the US to describe on-farm and experimental agricultural systems and their degree of success to sequester carbon and improve soil quality. Included is an overview of carbon sequestration strategies and pos... R. Follett, E. Short

3. Soil Organic Carbon Maintenance Requiremnets And Mineralizatyion Rate Constants: Site Specific Calcuations

  Over the past 100 years numerous studies have been conducted with the goal of quantifying the impact of management on carbon turnover. It is difficult to conduct a mechanistic evaluation of these studies because each study was conducted under unique soil, climatic, and management conditions.  Techniques for directly comparing data from unique studies are needed. This study discusses techniques for comparing data collected... D.E. Clay, G. Carlson, J. Tatge

4. On-combine Sensing Technique For Mapping Straw Yield Within Wheat Fields

Straw from production of wheat is available for conversion to bioenergy. However, not all of this straw is available for conversion because a certain amount must be returned to the soil for conservation. County and state-wide inventories do not account for variation within farm fields. In this study, a technique is described that applies information from on-combine crop sensors into estimation of straw yield across fields. Straw yiel... D.S. Long, ,

5. Modeling Soil Carbon Spatial Variation: Case Study In The Palouse Region

Soil organic carbon (Cs) levels in the soil profile reflect the transient state or equilibrium conditions determined by organic carbon inputs and outputs. In areas with strong topography, erosion, transport and deposition control de soil carbon balance and determine strong within-field differences in soil carbon. Carbon gains or losses are therefore difficult to predict for the average field. Total Cs ranged from 54 to 272 Mg C ha-1, with 42% (range 25 to 78%) of Cs in the top 0.3-m of the so... A.R. Kemanian, D.R. Huggins, D.P. Uberuaga

6. Performance Of The Veris Nir Spectrophotometer For Mapping Soil C In The Palouse Soils Of Eastern Washington

Recent advances in sensing technology have made measuring and mapping the dynamics of important soil properties that regulate carbon and nutrient budgets possible. The Veris Technologies (Salinas, KS) Near Infrared (NIR) Spectrometer is one of the first sensors available for collecting geo-referenced NIR soil spectra on-the-go. Field studies were conducted to evaluate the performance of the Veris NIR in wheat grown under both conventional and no-till management in the Palouse region of easter... F. Pierce, E.M. Perry, S.L. Young, H.P. Collins, P.G. Carter

7. Landscape Position And Climatic Gradient Impacts On Carbon Turnover in Dryland Cropping Systems in Colorado

  Soil organic carbon has decreased in cultivated wheat-fallow systems due to increased carbon oxidation, low carbon input and soil erosion.  Implementation of more intensive cropping with no-till management has reversed the trend in soil carbon loss.  Our objective in this presentation is to review the effects of landscape position on soil carbon status as related to intensification of cropping system.  Our analysis wi... G. Peterson, D. Westfall, L.A. Sherrod

8. C And N Coupling Through Time: Soil C, N, And Grain Yield In A Long-term Continuous Corn Trial

Gains and losses of both C and N are important in agricultural landscapes. Temporal changes in the pattern of crop yield response to tillage and fertilizer input are commonly observed; often weakly interpreted, in long-term research. A 38-year-long monoculture corn (Zea mays L.) tillage (moldboard plow, no-tillage) by N rate (0, 84, 168, 336 kg N per hectare) trial was sampled to a depth of 100 cm, as was the surround... J. Grove, E.M. Pena-yewtukhiw

9. Estimating Soil Productivity And Energy Efficiency Using Websoil Survey, Soil Productivity Index Calculator, And Biofuel Energy Systems Simulator

Soils have varying production capacities for a specific plant or sequence of plants under defined management strategies. The production capacity or “productivity” can be quantified as a mathematical function of a soils ability to sufficiently sustain plant ... K.D. Reitsma, T.E. Schumacher

10. Variability Of Carbon Sequestration In The Tidewater Region Of The Southeastern U.S.

In the southeastern US climatic conditions favor long periods of plant growth.  This combined with intense rainfall and poor drainage provides idea conditions for the conversion of plant biomass into organic matter.  This study combines the results of field experiments designed to  examine crop management practices that favor the development of soil organic carbon and organic matter with an examination of the causes for the extreme variability... R. Heiniger

11. Investigating Profile And Landscape Scale Variability In Soil Organic Carbon: Implications For Process-oriented Precision Management

Mitigation of rising greenhouse gases concentrations in the atmosphere has focused attention on agricultural soil organic C (SOC) sequestration. However, field scale knowledge of the processes and factors regulating SOC dynamics, distribution and variability is lacking. The objectives of this study are to characterize the pr... D.R. Huggins,

12. The Daily Erosion Project - High Resolution, Daily Estimates of Runoff, Detachment, Erosion, and Soil Moisture

Runoff and sediment transport from agricultural uplands are substantial threats to water quality and sustained crop production. Farmers, conservationists, and policy makers must understand how landforms, soil types, farming practices, and rainfall affect soil erosion and runoff in order to improve management of soil and water resources. A system was designed and implemented a decade ago to inventory precipitation, runoff, and soil erosion across the state of Iowa, United States. That system u... B.K. Gelder, R. Cruse, D. James, D. Herzmann, C. Sandoval-green, T. Sklenar

13. A Decade of Precision Agriculture Impacts on Grain Yield and Yield Variation

Targeting management practices and inputs with precision agriculture has high potential to meet some of the grand challenges of sustainability in the coming century, including simultaneously improving crop yields and reducing environmental impacts. Although the potential is high, few studies have documented long-term effects of precision agriculture on crop production and environmental quality. More specifically, long-term impacts of precision conservation practices such as cover crops, no-ti... M.A. Yost, N. Kitchen, K. Sudduth, S. Drummond, J. Sadler

14. Economics of Gps-enabled Navigation Technologies

To address the economic feasibility of global positioning system (GPS) enabled navigation technologies including automated guidance and lightbar, a linear programming model was formulated using data from Midwestern U.S. Corn Belt farms. Five scenarios were compared: (i) a baseline scenario with foam, disk or other visual marker reference, (ii) lightbar navigation with basic GPS availability (+/-3 dm accuracy), (iii) lightbar with satellite subscription correction GPS (+/-1 dm), (iv) automated... T.W. Griffin, D.M. Lambert, J. Lowenberg-deboer

15. Synchronized Windrow Intelligent Perception System (SWIPE)

The practice of bale production, in forage agriculture, involves various machines that include tractors, tedders, rakers, and balers. As part of the baling process, silage material is placed in windrows, linearly raked mounds, to drive over with a baler for easy collection into bales. Traditionally, a baler is an implement that is attached on the back of a tractor to generate bales of a specific shape. Forage agricultural equipment manufacturers have recently released an operator driven, self... E.M. Dupont, P.R. Kolar

16. Economics of Field Size for Autonomous Crop Machines

Field size constrains spatial and temporal management of agriculture with implications for farm profitability, field biodiversity and environmental performance. Large, conventional equipment struggles to farm small, irregularly shaped fields efficiently. The study hypothesized that autonomous crop machines would make it possible to farm small non-rectangular fields profitably, thereby preserving field biodiversity and other environmental benefits. Using the experience of the Hands Free Hectar... A. Al amin, J. Lowenberg‑deboer, K. Franklin, K. Behrendt

17. Seed Localization System Suite with CNNs for Seed Spacing Estimation, Population Estimation and Doubles

Proper seed placement during planting is critical to achieve uniform emergence which optimizes the crop for maximum yield potential. Currently, the ideal way to determine planter performance is to manually measure plant spacing and seeding depth. However, this process is both cost- and labor-intensive and prone to human errors. Therefore, this study aimed to develop seed localization system (SLS) system to measure seed spacing and seeding depth and providing the geo-location of each planted s... A. Sharda, R. Harsha chepally

18. Agricultural Robots Classification Based on Clustering by Features and Function

Robotic systems in agriculture (hereafter referred to as agrobots) have become popular in the last few years. They represent an opportunity to make food production more efficient, especially when coupled with technologies such as the Internet of Things and Big Data. Agrobots bring many advantages in farm operations: they can reduce humane fatigue and work-related accidents. In contrast, their large-scale diffusion is today limited by a lack of clarity and exhaustiveness in the regulatory fram... M. Canavari, M. Medici, G. Rossetti

19. Agronomic Opportunities Highlighted by the Hands Free Hectare and Hands Free Farm Autonomous Farming Projects

With agriculture facing various challenges including population increase, urbanisation and both mitigating and managing climate change, agricultural automation and robotics have long been seen as potential solutions beyond precision farming. The Hands Free Hectare (HFH) and Hands Free Farm (HFF) collaborative projects based at Harper Adams University (HAU) have been developing autonomous farming systems since 2016 and have conducted multiple autonomous field crop production cycles since a wor... K.F. Franklin

20. Possibilities for Improved Decision Making and Operating Efficiency Derived from the Predictability of Autonomous Farming Operations

For the last 6 years, small autonomous agricultural vehicles have been operating on Harper Adams University’s fields in Shropshire.  Starting with a single tractor on a single rectangular hectare (2.5 acres) and moving on to three tractors on 5 irregularly shaped fields covering over 30 hectares (75 acres).  Multiple crops have been grown; planting, tending, and harvesting with autonomous tractors and harvesters.  The fields are worked using a Controlled Traffic Farming s... M. Gutteridge