03/10/2022

03/07/2023

02/26/2024

Publications

 

Amanda Ashworth, Phillip Owens, Edwin Winzeler, Tulsi Kharel, Darya Abbasi, Ammar Abdul Motaleb, Yuan Zhou. Tentative title: Site-specific zone management using machine learning. Currently status: working on the analysis and draft. Plan to submit it in August 2024.

 

Amy Peerlinck and John Sheppard.  Addressing Sustainability in Precision Agriculture via Multi-Objective Factored Evolutionary Algorithms URL: https://www.cs.montana.edu/sheppard/pubs/mic-2022.pdf

 

Amy Peerlinck and John W. Sheppard. Influence of Variable Grouping on Large-Scale Multi- and Many-Objective Optimization. in preparation (submission by December 23).

 

Amy Peerlinck and John W. Sheppard. Managing Objective Archives for Solution Set Reduction in Many-Objective Optimization. to appear IEEE Symposium Series on Computational Intelligence, December 2023

 

Chishan Zhang, Chunyuan Diao, David Bullock, Xiaofei Li, Taro Mieno. Economic Evaluation of Site-specific Nitrogen Management using Extended Geographically Weighted Regression (GWR) Analysis. Status: In progress, with a focus on writing and revising the manuscript. Estimated Timeframe for Submission: Dec 2023

 

Du, Q., T. Mieno, and D.S. Bullock. Economically Optimal Nitrogen Side-Dressing Based on Vegetation Indices from Satellite Images through On-farm Experiments. Working Paper.

 

Duff, H., L. Carlisle, P.B. Hegedus, S. Loewen and B.D. Maxwell. 202_. When less is more: A case for converting low-yielding areas to ecological refugia in crop fields. Nature Sustainability (In Review, submitted 4/6/2023) 

 

Duff, H., D. Debinski and B.D. Maxwell. 202_. Ecological refugia enhance biodiversity and crop production in dryland grain production systems URL: https://www.sciencedirect.com/science/article/pii/S0167880923004103?ssrnid=4325712&dgcid=SSRN_redirect_SD

 

Duff, H., D. Debinski and B.D. Maxwell. 202_. Landscape context affects patch habitat contributions to biodiversity in agroecosystems. J. Applied Ecology (In review, submitted 4/3/2023)

 

Giorgio Morales and John Sheppard. Counterfactual Explanations of Neural Network-Generated Response Curves URL: https://arxiv.org/abs/2304.04063

 

Giorgio Morales and John W. Sheppard, ``Dual Accuracy-Quality-Driven Neural Network for Prediction Interval Generation,'' re-submitted to IEEE Transactions on Neural Networks and Learning Systems, March 2023.

 

Giorgio Morales and John W. Sheppard, ``Univariate Functional Form Identification in Multivariate Systems Using Transformers," in preparation (submission by January 24)

 

Giorgio Morales, John Sheppard, Paul Hegedus, and Bruce Maxwell. Improved Yield Prediction of Winter Wheat Using a Novel Two-Dimensional Deep Regression Neural Network Trained via Remote Sensing URL: https://www.mdpi.com/1424-8220/23/1/489

 

Hegedus, P.B., Maxwell, B.D., Ewing, S.E., & Bekkerman, A. (2023). Development and evaluation of site-specific optimized nitrogen fertilizer management based on maximized profit and minimization of pollution. Paper. Precision Agriculture, Submitted.

 

Hans Edwin Winzeler, Phillip R. Owens, Tulsi Kharel, Amanda Ashworth, and Zamir Libohova.  Identification and Delineation of Broad-Base Agricultural Terraces in Flat Landscapes in Northeastern Oklahoma, USA  URL: https://www.mdpi.com/2073-445X/12/2/486

 

Jaeseok Hwang, David S Bullock, Taro Mieno. "What is the Value of On-Farm Precision Experiment Data as a Public.” Working paper, 2025.

 

Khanal, B., T. Mieno, K. Schoengold, and D.S. Bullock. 2023. Optimizing Precision Conservation with On-Farm Precision Experiment Data: The Role of Crop Insurance and Spatially Variable Profit.

 

Li, X., Mieno, T. & Bullock, D.S. The economic performances of different trial designs in on-farm precision experimentation: a Monte Carlo evaluation. Precision Agric (2023). https://doi.org/10.1007/s11119-023-10050-8

 

Loewen, S. and B.D. Maxwell. 202_. Optimizing Cover crop seeding rates and following cash crops to maximize net return in organic grain farming. Ecosphere. In review Submitted 8/29/2023 

 

Loewen, S. and B.D. Maxwell. 202_. Optimizing Crop Seeding Rates On Organic Grain Farms Using On Farm Precision Experimentation. Field Crops Research. In Review. Submitted 9/17/2023

 

Mills, B.E., B.W. Brorsen, D. Poursina, and D.B. Arnall. Optimal grid size for site-specific nutrient application URL: https://doi.org/10.1111/agec.12802

 

Mieno, T., X. Li, and D.S. Bullock. 2023. Bias in Economic Evaluation of Variable Rate Application based on Geographically Weighted Regression Models with Mis-specified Functional Form. 

 

Mieno, T., Li, X., and Bullock, D. S. “Economic Evaluation of Misspecified Geograph-ically Weighted Regression Models for Site-specific Nitrogen Management.” Journal of the Agricultural and Applied Economics Association. (Revise & Resubmit)

 

Nan Li, David Bullock, Carrie Butts‐Wilmsmeyer, Laura Gentry, Greg Goodwin, Jaeyeong Han, Nathan Kleczweski, Nicolas F. Martín, Patricia Paulausky, Pete Pistorius, Nicholas Seiter, Nathan Schroeder, and Andrew J. Margenot. Distinct soil health indicators are associated with variation in maize yield and tile drain nitrate losses URL: https://ui.adsabs.harvard.edu/abs/2023SSASJ..87.1332L/abstract

 

Negrini, R., Mizuta, K. Miao, Y., Stueve, K., Lacerda, L., Anthony, P., Coulter, J. Evaluating the potential of variable rate sulfur management for corn in Minnesota, in preparation, to be submitted in 2024.

 

Patterson, G. Cole. 2023. Using Informative Bayesian Priors and On-Farm Experimentation to Predict Optimal Site-Specific Nitrogen Rates URL: file:///C:/Users/jbruner9/Downloads/Poster_Ngombe_Brorsen.pdf

 

Paul Hegedus, Bruce Maxwell, John Sheppard, Sasha Loewen, Hannah Duff, Giorgio Morales-Luna, and Amy Peerlinck. Towards a Low-Cost Comprehensive Process for On-Farm Precision Experimentation and Analysis URL: https://www.mdpi.com/2077-0472/13/3/524

 

Paul Hegedus, Stephanie Ewing, Claim Jones, and Bruce Maxwell. Using spatially variable nitrogen application and crop responses to evaluate crop nitrogen use efficiency URL: https://ui.adsabs.harvard.edu/abs/2023NCyAg.126....1H/abstract

 

Poursina, D., and B.W. Brorsen. 2023. Fully Bayesian Economically Optimal Design for Spatially Varying Coefficient Linear Stochastic Plateau Model. Submitted to Stochastic Environmental Research and Risk Assessment. In second review 

 

Poursina, D., and B.W. Brorsen. Site-Specific Nitrogen Recommendation: Fast, Accurate, and Feasible Bayesian Kriging. To be submitted to Precision Agriculture 

 

Qeiroz, P.W., R.K. Perrin, L.E. Fulginiti, and D.S. Bullock. 2023. Expected Payoff from a Variable Rate Nitrogen Application:  an Expect Value of Sample Information (ESVI) Approach. Submitted to the American Journal of Agricultural Economics.

 

Tanaka, T.S.T., G.B.M. Heufelink, T. Mieno, and D.S Bullock. 2023. Provide Accurate Fertilizer Recommendations. 

 

Tibbs, R.G. and M.A. Boerngen. "Understanding Farmers’ Views of On-Farm Precision Experimentation Through Interviews” to be submitted to Agricultural & Environmental Letters, within the next month or so.

 

Tibbs, R.G., M.A. Boerngen, and N. Heller. "Farmers’ Perceptions of and Interest in Conducting On-Farm Precision Experimentation" to be submitted to Precision Agriculture in Spring 2024

 

Zhang, C., Li, X., Mieno, T., and Bullock, D. S. 2024. Performances of Quadratic-Plateau Geographically Weighted Regression Model in Site-specific Yield Response Estimation. Target Journal: Precision Agriculture.

 

Zhang, C., X. Li, T. Mieno, C. Diao, and D.S. Bullock. 2024. Use of a Quadratic-plateau Geographically Weighted Regression Model for Estimating Site-specific Economically Optimal Input Rates.

 

 

 

Presentations

 

Amanda Ashworth. Machine Learning for Site-Specific Management in Precision Agriculture, April 2023, Innovation Day, University of Text at Arlington. Video Link: https://uta.engineering/innovationday/project-2023.php?p=78&h=63201076a0a47964cfa8837f30a8805a.

 

Brorsen, B.W. 2023. Nitrogen Use Efficiency and Economic Hurdles. Nitrogen Use Efficiency Meeting 2023, Stillwater, OK. Poursina, D., and B.W. Brorsen. 2023.

 

Bullock, D.S., Conducting Field Trials with the Iowa Nitrogen Initiative and the Data-Intensive Farm Management Project. Iowa Nitrogen Initiative Farmers. Washington, Iowa. February 24 2023. 

 

Bullock, D.S., The Data-Intensive Farm Management Project. Researchers and administrators at the Quebec Ministry of Agriculture and Fisheries. Quebec City Canada. March 29 2023.

 

Bullock, D.S., The Data-Intensive Farm Management Project. Quebec farmers, consultants and researchers, in cooperation with the Quebec Ministry of Agriculture and Fisheries. Trois Rivieres Quebec Canada. March 31 2023.

 

Bullock, D.S., The Data-Intensive Farm Management Project. Quebec farmers, consultants and researchers, in cooperation with the Quebec Ministry of Agriculture and Fisheries. St. Cesaire Quebec Canada. March 30 2023. 

 

Bullock, D.S., The Data-Intensive Farm Management Project:  Progress, Challenges, and Results in On-Farm Precision Experimentation. ACE Weekly Seminar Series. Urbana, Illinois. April 7 2023.

 

Bullock, D.S., Discussion: Agrithority and DIFM. Agrithority Virtual Presentation. January 16 2023. 

 

Bullock, D.S., Discussion: Amplify-Brookside and DIFM. Amplify-Brookside Virtual Presentation. January 31 2023. 

 

Bullock, D.S., Discussion: Minnesota Crop Production Retailers and DIFM. Minnesota Crop Production Retailers Association Virtual Presentation. February 13 2023. 

 

Bullock, D.S., La Experimentación a de Precisión a Campo:  Una Oportunidad de Colaboración entre el Proyecto DIFM y los Productores Uruguayos. Annual Meeting of ProNutrion Producers. Colonia del Sacramento Uruguay. September 1 2023. 

 

Bullock, D.S., Improving Outcomes through On-farm Precision Experimentation" (*Invited Speaker). KATCON 2023, sponsored by the Kansas Agricultural Research and Technology Association (KARTA). Junction City Kansas. January 19 2023. 

 

Bullock, D.S., On-farm Precision Experimentation:  An Opportunity for Collaboration between Brazilian Farmers and DIFM. Rumo Agro (25 Brazilian farmers visiting the U.S.). Urbana, Illinois. August 28 2023. 

 

Bullock, D.S., On-farm Precision Experimentation with the Data-Intensive Farm Management Project. Presentation before Alberta and Saskatchewan commodity groups. Olds College Alberta. November 20 2023. 

 

Bullock, D.S., On-farm Precision Experimentation with the Data-Intensive Farm Management Project. Presentation before the Ontario Ministry of Agriculture, Food and Rural Affairs (and various farmer and commodity groups). Virtual. November 30 2023.

 

Bullock, D.S., Progress and Status of the Data-Intensive Farm Management Project. Researchers in and Administrators of the NRCS-Conservation Innovation Grant Program. Des Moines Iowa. August 7 2023. 

 

Bullock, D.S., Some Thoughts on On-farm Precision Experimentation with Cover Crops. Researchers and administrators at the Quebec Ministry of Agriculture and Fisheries. Quebec City Canada. March 20 2023.

 

Bullock, D.S., The State of the DIFM Project.” DIFM/NC-1210 Annual Meeting. Corpus Christi Texas, January 5 2023. 

 

Bullock, D.S., Some Thoughts on On-farm Precision Experimentation with Cover Crops. Quebec farmers, consultants and researchers, in cooperation with the Quebec Ministry of Agriculture and Fisheries. Trois Rivieres Quebec Canada. March 31 2023.

 

Bullock, D.S., Une rencontre d’information sur les possibilités de démarrer des essais à la ferme en 2023, utilisant l’agriculture de précision (Bullock attended to answer audience questions.) Quebec farmers, consultants and researchers, in cooperation with the Quebec Ministry of Agriculture and Fisheries. Virtual. April 27 2023.

 

Bullock, D.S., Using the (free!) Data-Intensive Farm Managment Project’s Tools to Design and Analyze Your On-Farm Trials. Kansas Agricultual Technologies Conference. Manhattan Kansas. January 26 2024. 

 

Bullock, D.S., Using On-farm Precision Experimentation for Improved Nitrogen Fertilizer Efficiency and Mitigation of Greenhouse Gas Emissions. Presentation at the Journée d´échanges Scientifiques:  Utilisation déngrais azoté et réduction GES conference, sponsored by the Quebec Minsitry of Agriculture, Fisheries and Food. Virtual. Novemebr 28 2023. 

 

Bullock, D.S., Why Agriculture Big Data Needs On-Farm Precision Experimentation (and Vice-Versa). International Conference for On-Farm Precision Experimentation. South Padre Island Texas. January 8 2024. 

 

Bullock, D.S., Working with the Data-Intensive Farm Management Project to Conduct On-Farm Precision Experiments. Virtual Symposium:  Harvesting Insights with Data-Driven On-Farm Precision Experimentation. February 13, 2024. 

 

Bullock, D.S., You May Not Want to Use "Yield Potential" to Make Input Management Decisions.  Instead:  Conduct On-Farm Precision Experiments! Michigan State University Field Crops Webinar. February 27 2023. 

 

Bullock, D.S., B. Edge, and T.Mieno. A Microeconomic Perspective on the Value of OFPE Data in Management Zone Delineation. 6th Symposium on Agri-Tech Economics for Sustainable Futures. Harper Adams University, England. September 18 2023. 

 

Bullock, D.S., B. Edge, and T.Mieno. A Microeconomic Perspective on the Value of OFPE Data in Management Zone Delineation. Second International Conference on Farmer-centric On-farm Experimentation. Virtual. December 5 2023. 

 

Brorsen, B.W. 2023. “Fully Bayesian Economically Optimal Design for Spatially Varying Coefficient Linear Stochastic Plateau Model.” Presentation. StanCon 2023, St. Louis, MO, June.

 

Du, Q. 6th Symposium on Agri-Tech Economics for Sustainable Futures. 18-19 September 2023, Harper Adams University, Newport, U.K. 

 

Duff. H., PhD Dissertation Defense Presentation Talk 4/13/2023 

 

Hwang. J., 6th Symposium on Agri-Tech Economics and Sustainable Future. https://store.harper-adams.ac.uk/product-catalogue/on-campus-events/on-campus-events/6th-giate-symposium

 

Li, X., Mieno, T., Bullock, D. S., Gong, A., Edge, B., Du, Q., and Hwang, J. “Economic Evaluation of Variable Rate Application using On-Farm Precision Experimentation Data.” AI in Agriculture: Innovation and Discovery to Equitably Meet Producer Needs and Per-ceptions, Orlando, FL, April 17-19, 2023 

 

Loewen. S,- PhD Dissertation Defense Presentation 4/14/2023 talk begins at 12:08, it is labeled. Recording link: https://montana-student.webex.com/montana-student/ldr.php?RCID=4617a4980f06f032f3a8219991d8cb8f Password: Ye6rzm4Y

 

Loewen. S, LRES Seminar 2/27/2023 link: https://montana.webex.com/montana/ldr.php?RCID=c1e6e2f69d37cb50eaad671214db70d8 

 

Morales. G., Counterfactual Explanations of Neural Network-Generated Response Curves, IEEE International Joint Conference on Neural Networks, July 2023. 

 

Sheppard, J., Demystifying Machine Learning through eXplainable Artificial Intelligence (XAI). Optical Technology Center Colloquium, Montana State University, February 10, 202

 

Sheppard, J., Insurance Innovation, Artificial Intelligence, & What to Watch For In Montana. CSI Insurance Summit, Butte, MT, September 13, 2023 (included DIFM as a case study).

 

Tibbs. R, and M. Boerngen. Examining the Perceptions of Precision Agriculture Technologies and On-Farm Precision Experimentation - Rural Sociological Society Annual Meeting, August 1-6, 2023, Burlington, VT. https://www.dropbox.com/scl/fi/twyolv3gl654mlgozxgq9/Revised-Final-RSS-Program-2023.pdf

 

Vanerplas. S, "Redesigning Yield Maps for Comprehension and Usability". Symposium on Data Science and Statistics. https://ww3.aievolution.com/AMSTATevents/index.cfm?do=cnt.appLoader&routerAction=runCustomSearch#/searches/load/Sessions_SDSS

03/06/2025

Manuscripst published or forthcoming: 

Negrini, R., Miao, Y., Mizuta, K., Stueve, K., Kaiser, D., & Coulter, J. (2024). Spatial and temporal variability in optimal sulfur rates for corn in Minnesota: implications for Precision sulfur management.

Negrini, R., Miao, Y., and Stueve, K. (2024). Identifying key factors influencing corn responses to sulfur fertilizer application under on-farm conditions using machine learning.

dos Santos, Caio and Miguez, Fernando E., Pacu: Precision Agriculture Computational Utilities. Available at SSRN: https://ssrn.com/abstract=4946676 or http://dx.doi.org/10.2139/ssrn.4946676

Working paper on using satellite images for estimating planting and harvest date. Tentative. Authors: Caio dos Santos, Laila Puntel, David Bullock, others, Fernando Miguez

Poursina, D., and B.W. Brorsen. 2024.  “Site-Specific Nitrogen Recommendation: Fast, Accurate, and Feasible Bayesian Kriging.” Computational Statistics. In Press

Poursina, D., and B.W. Brorsen. 2024. “Fully Bayesian Economically Optimal Design for Spatially Varying Coefficient Linear Stochastic Plateau Model.” Stochastic Environmental Research and Risk Assessment. 38:1089-1098.

Poursina, D., B.W. Brorsen, and D.M. Lambert. 2024. “Optimal Treatment Placement for On-Farm Experiments: Pseudo-Bayesian Optimal Designs with a Linear Response Plateau Model.” Precision Agriculture. In Press

Park, E., B.W. Brorsen, and X. Li. 2024. “Using Data from Uniform Rate Applications for Site-Specific Nitrogen Recommendations.” Journal of Agricultural and Applied Economics. 56: 138-154.

Zhang, Y., and B.W. Brorsen. 2024. “Optimizing Nitrogen Rates in Corn Production: A Multi-Degree Spline Approach.” Selected paper. Agricultural and Applied Economics Association annual meeting.

T Mieno, J Hwang, DS Bullock. Learning about Optimal Corn Seed Rate Management Via On-farm Experimentation: Are Farmers Over-planting?

M Mousavi, T Mieno, DS Bullock. A new model selection approach based on local economically optimal input rate.

Q Du, T Mieno, DS Bullock. Measuring the Estimation Bias of Yield Response to N Using Combined On-Farm Experiment Data.

Tanaka, T. S., Heuvelink, G. B., Mieno, T., & Bullock, D. S. (2024). Can machine learning models provide accurate fertilizer recommendations?. Precision Agriculture, 1-18.

Mieno, T., Li, X., & Bullock, D. S. (2024). Bias in economic evaluation of variable rate application based on geographically weighted regression models with misspecified functional form. Journal of the Agricultural and Applied Economics Association, 3(1), 135-151.

Qianqian Du, Taro Mieno, and David S. Bullock. Measuring the Estimation Bias of Yield Response to N Using Combined On-Farm Experiment Data. Under revision (JAAEA).

Farmers’ perceptions of and interest in conducting on-farm precision experimentation, in preparation, anticipated submission December 2024.  Authors Tibbs, Bullock, Heller, Boerngen

Evaluating the Profitability of Corn Seeding1 Decisions: Insights from On-Farm Precision Experiments Data (Jaeseok Hwang , David S Bullock, Taro Mieno).

Giorgio Morales and John W. Sheppard, "Univariate Skeleton Prediction in Multivariate Systems Using Transformers," Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), Vilnius, Lithuania, September 2024.

Giorgio Morales and John W. Sheppard, "Counterfactual Analysis of Neural Networks Used to Create Fertilizer Management Zones," Proceedings of the International Joint Conference on Neural Networks, Yokohama, Japan, July 2024.

Giorgio Morales and John W. Sheppard, "Adaptive Sampling to Reduce Epistemic Uncertainty Using Prediction Interval-Generation Neural Networks," submitted to the 39th Annual AAAI Conference on Artificial Intelligence, Philadelpha, PA, 2025.

Edge, Brittani; Taro Mieno, and David S. Bullock. Impact of Machinery Misalignment on Economic Results through Jensen’s Inequality in On-Farm Precision Experiments. Status: Needs updating and revisions. Estimated publication: within 2025 if time permits more time to work on this after January conference.

Duff, H., D. Debinski and B.D. Maxwell. 2024. Ecological Refugia Enhance Biodiversity, Ecosystem Services, and Crop Production in Agroecosystems. Agriculture, Ecosystems and Environment. 359: 108751 https://doi.org/10.1016/j.agee.2023.108751

Duff, H., D. Debinski and B.D. Maxwell. 2024. Landscape context affects patch habitat contributions to biodiversity in agroecosystems. Ecosphere. https://doi.org/10.1002/ecs2.4879

Maxwell, B. D., & Duff, H. (2024). Increasing the scope and scale of agroecology in the Northern Great Plains [Commentary]. Journal of Agriculture, Food Systems, and Community Development. Advance online publication. https://doi.org/10.5304/jafscd.2024.133.0XX

Loewen, S. and B.D. Maxwell. 2024. Optimizing cover crop seeding rates and following cash crops to maximize net return in organic grain farming. Field Crop Research. Accepted 9/13/2024

 Loewen, S. and B.D. Maxwell. 2024. Site Specific Weed Management on Organic Grain Farms using Variable Rate Seeding and Data Driven Simulation. Weed Research  Accepted 10/28/2024

 Flávia Luize Pereira de Souza, Maurício Acconcia Dias, Tri Deri Setiyono, Sérgio Campos, Haiying Tao, Luciano Shozo Shiratsuchi. Identification of soybean planting gaps using machine learning. Journal Smart Agricultural Technology. Submitted.

 Flávia Luize Pereira de Souza, Luciano Shozo Shiratsuchi, Haiying Tao, Maurício Acconcia Dias, Marcelo Rodrigues Barbosa Júnior, Tri Deri Setiyono, Sérgio Campos. Counting soybean plants by UAV RGB Imagery: an effective approach during phenological changes. Agrosystems, Geosciences & Environment. Submitted.

 Flávia Luize Pereira de Souza, Luciano Shozo Shiratsuchi, Haiying Tao, Maurício Acconcia Dias, Marcelo Rodrigues Barbosa Júnior, Tri Deri Setiyono, Sérgio Campos. Soybean plant count based on multisensor images. Precision Agriculture. Under Review.

 Flávia Luize Pereira de Souza, Haiying Tao, David Bullock, Brittani Edge. Spatial variability of optimum chloride application rate in a soft white winter wheat field. Agronomy Journal. Under Prep.

 

Presentations & Interviews: 

Bullock, D.S.  "Why Agricultural Big Data Needs On-farm Precision Experimentation (and Vice-versa).”

International Conference for On-farm Precision Experimentation.  South Padre Island, TX.  1/8/24.

 

Bullock, D.S.  "Using the (free!) Data-Intensive Farm Management Project’s Tools to Design and Analyze Your On-farm Trials".  Kansas Agricultural Technologies Conference.  Manhattan, KS.  1/26/24.

 

Bullock, D.S.  "Working with the Data-Intensive Farm Management Project to Conduct On-Farm Precision Experiments". Virtual Symposium:  Harvesting Insights with Data-Driven On-Farm Precision Experimentation.  2/13/24.

Bullock, D.S.  “Working with DIFM and Trilogy on On-farm Precision Experimentation.”  Trilogy Corporation.  Fargo, North Dakota.  3/19/2024.

 

Bullock, D.S., R.E. Dunker, and S. Wahl.  "Improving the Economic and Ecological Sustainability of US Crop Production through On-farm Precision Experimentation."  NRCS SNTSC Technology Advisory Board Meeting.  Virtual.  3/26/24.

 

Bullock, D.S.  "On-Farm Precision Experimentation: Methods and Results.  Univesity of Illinois Dept of Agricultural and Consumer Economics FACS Workshop.  Urbana, Illinois.  4/3/24.

Bullock, D.S.  “What DIFM Can Offer Microsoft and Project FarmVibes.”  Virtual.  Meeting with Ranveeer Chandra, Managing Director and Chief Technology Officer of Agri-Food at Microsoft.  4/13/24.

 

Bulllock, D.S.  "On-Farm Precision Experimentationand the Data-Intensive Farm Management Program: Methods and Results" (*Invited speaker).  IoT4Ag Group.  Purdue University, W. Lafayette, IN.  4/5/24.

‘

Bullock, D.S.  "New Opportunities for U of I Extension:  On-Farm Precision Experimentation with DIFM, Farmers and CCA.”  Meeting of the Illinois Extension Commercial Agriculture Team.  Virtual.  4/12/24.

 

Bullock, D.S,  "An Opportunity for Illinois Farmers: On-farm Research with the Data-Intensive Farm Management Project."  Interview for WILL radio with Todd Gleason.  University of Illinois Extension.  4/26/24.

 

Bullock, D.S., and J. Jung.  "Using On-farm Precision Experimentation to Incentivize Cost-effective Climate-friendly Crop Research, Policy, and Production."  Presentation to Tim Pilwkowski, NRCS National Nutrient Management Discipline Lead.  Virtual.  5/23/24.

 

Bullock, D.S.  "Conducting On-farm Precision Experimentation with U of I Extension and the Data-Intensive Farm Management Project."  University of Illinois Extension Ewing Field Day.  Illinois Extension Ewing Demonstration Center.  7/25/24.

 

Bullock, D.S.  "The Data-Intensive Farm Management Project:  On-Farm Nitrogen Rate Experiments."  The Nitrogen Use Efficiency Workshop.  Urbana, Illinois.  8/5/24.

Bullock, D.S.  "Vayda-DIFM Discussion:  On-farm Precision Experimentation and Regenerative Agriculture."  Virtual.  8/27/24.

 

Bullock, D.S.  "Opportunities for Data-intensive Farm Management in Africa"

United Nations Science Summit:  "4IR Opportunities for Agriculture in Africa."  Virtual (*invited speaker*).  9/25/24.

 

Bullock, D.S.  "The Data-Intensive Farm Management Project and Opportunities for On-farm Precision Experimentation."  Interview with Matthew Grassi, Technology & Machinery Editor of Farm Journal.  Telephone.  9/26/24.

 

Bullock, D.S.  "The Data-Intensive Farm Management Project and Opportunities for On-farm Precision Experimentation."  Auburn University Dept of Crop, Soil and Environmental Sciences.  Auburn, Alabama.  10/18/24.

 

Bullock, D.S.  "YARA-DIFM Discussion:  Opportunities for On-farm Precision Experimentation."

Representatives for YARA North America.  Virtual.  10/28/24.

 

Negrini, R., Miao, Y. (Corresponding Author), Mizuta, K., Stueve, K., Kaiser, D., & Coulter, J. (2024). Within-field Spatial Variability in Optimal Sulfur Rates for Corn in Minnesota: Implications for Precision Sulfur Management. ISPA;

Kechchour, A., Miao, Y. (Corresponding Author), Folle, S., & Mizuta, K. (2024). On-farm Evaluation of the Potential Benefits of Variable Rate Seeding for Corn in Minnesota. 16th International Conference on Precision Agriculture, Manhattan, KS. (July 21-24, 2024);

Negrini, R., Miao, Y., (Advisor) "Optimizing Sulfur Management in Corn through On-Farm Experimentation and Machine Learning in Minnesota: A Study on Within-Field Variability and Limiting Factors," 2024 ASABE North Central Regional Section Meeting, Brookings, South Dakota. (April 12, 2024).

Miguez, Fernando E. Integrating Nonlinear Models and Remotely Sensed Data to Estimate Crop Cardinal Dates. https://www.ispag.org/proceedings/?action=abstract&id=10092

Patterson, C., B.W. Brorsen, D. Poursina, T. Mieno, B.K. Edge, and E.D. Nafziger. 2024. “Using Informative Bayesian Priors and On-Farm Experimentation to Predict Optimal Site-Specific Nitrogen Rates.” Presentation. International Society of Precision Agriculture, Manhattan, KS.

 "A new model selection approach based on local economically optimal input rate" by Mona Mousavi at the annual AAEA conference. https://www.aaea.org/UserFiles/file/aaea_202407_agenda_pdf_daily.pdf

John Sheppard, Counterfactual Analysis of Neural Networks Used to Create Fertilizer Management Zones, International Joint Conference on Neural Networks, Yokohama, Japan, 9/9/24.

Giorgio Morales, "Decomposable Symbolic Regression Using Transformers and Neural Network-Assisted Genetic Algorithms," PhD Forum, European Conference on Machine Learning, Vilnius, Lithuania

Giorgio Morales, "Discovery Challenge: Seismic Monitoring and Analysis Challenge," First-Place Award, European Conference on Machine Learning, Vilnius, Lithuania.

Giorgio Morales, "Univariate Skeleton Prediction in Multivariate Systems Using Transformers," Paper Presentation, European Conference on Machine Learning, Vilnius, Lithuania

Giorgio Morales, AI and Agriculture, INBRE Workshop on Artificial Intelligence, Butte, MT, 10/21/24

John Sheppard, "AI and Society: Why It Matters," Gallatin Valley Friends of the Sciences, Bozeman, MT, 10/16/24

Edge, Brittani. Presentation at AgSmart 2024 at Old's College to present the DIFM tools and discuss what we have learned implementing OFPE's for seven years.

SOUZA, F. L. P.; SHIRATSUCHI, L. S; TAO, H.; DIAS, M. A.; JÚNIOR, M. R. B.; SETIYONO, T.; CAMPOS, S.  Computer vision by UAVs for estimate soybean population across different physiological growth stages and sowing speeds. 16th International Conference on Precision Agriculture. Manhattan, Kansas, United States, 2024.

SOUZA, F. L. P.; SHIRATSUCHI, L. S; TAO, H.; DIAS, M. A.; JÚNIOR, M. R. B.; SETIYONO, T.; CAMPOS, S.  Optimizing soybean management with UAV RGB and multispectral imagery: A Neural Network method and image processing. 16th International Conference on Precision Agriculture. Manhattan, Kansas, United States, 2024.

SOUZA, F. L. P.; NEGRINI, R.; TAO, H.  Optimizing Chloride (Cl) Application for Enhanced Agricultural Yield. 16th International Conference on Precision Agriculture. Manhattan, Kansas, United States, 2024.

SOUZA, F. L. P.; DIAS, M. A.; SETIYONO, T.; CAMPOS, S.; TAO, H.; SHIRATSUCHI, L. S. How can machine learning assist in identifying issues in soybean planting? Conference for On-farm Precision Experimentation 2024. Hilton Garden Inn South Padre Island Beachfront; City: South Padre Island, Texas; Sponsor: Data-Intensive Farm Management Project (DIFM).

SOUZA, F.L.P. Automatic counting of soybean plants with computer vision and Artificial Intelligence and data from Remotely Piloted Aircraft – RPA. Brazil. UNESP. PhD thesis. 2024. https://hdl.handle.net/11449/255297