Progress 03/15/24 to 03/14/25
Outputs
Target Audience:The target audience is primarily farmers and the scientific community. The project benefits farmers by promoting water conservation practices and sustainable cropping systems in the face of climate change. The scientific community is a significant audience since the project's results contribute to the body of knowledge on precision water application, water conservation and resilient cropping systems in semi-arid regions. Efforts involved in achieving the objectives: On-farm Research: The project is conducted on commercial farms to understand the effects of site-specific water management practices on crop yields and water use efficiency. Data are also collected from farms regarding crop yield, management practices, and economic returns. We collaborated directly with producers and crop consultants to implement these experiments and collect the data. Therefore, the knowledge gained from these studies is directly applicable to real-world farming. Conferences: The project team presented preliminary research findings on precision irrigation and crop modeling at three conferences targeting the scientific community and farmers. Changes/Problems:The project has been extended to March 2026. What opportunities for training and professional development has the project provided?Three graduate students, two in Agronomy and one in Agricultural and Applied Economics, have been involved in this project. They have developed skills through conducting research, including collecting and analyzing data, and presenting preliminary results at various conferences. These training and professional development activities will help these students achieve their educational and career goals. One M.S. student graduated in August 2024 and produced a thesis on the economic analysis of cropping systems in response to climate change scenarios. How have the results been disseminated to communities of interest?In the past year, we focused on disseminating preliminary results to the scientific community. The team presented 12 abstracts at three conferences. We have also published two articles on Crop and Environment and Advances in Agronomy. What do you plan to do during the next reporting period to accomplish the goals?We will participate in or organize field days to distribute the on-farm trial results to growers, crop consultants, and extension agents. We will disseminate our work to scientific peers and communities through national and international conferences, as well as presentations and refereed journal articles. ?
Impacts
What was accomplished under these goals?
1). We developed an algorithm to identify optimal irrigation rates that minimize water use while maximizing cotton yield at the within-field scale in the Southern High Plains. Random Forest (RF) models were employed to identify key factors influencing yield and WUE based on a dataset encompassing soil properties, topographic attributes, and irrigation rates. Soil properties such as apparent electrical conductivity (ECa) and topography, including elevation and slope, were measured to understand their contribution to spatial variability. Optimized and site-specific irrigation strategies improved WUE by up to 21.4% compared to conventional methods, while increasing cotton yields by 31%. 2). We developed a Python-based framework to simulate and predict crop yield for three cropping systems: cotton-cotton, cotton-sorghum, and cotton-wheat. This framework can help producers and stakeholders make informed decisions on crop production based on local soil and climate interactions.
Publications
- Type:
Theses/Dissertations
Status:
Published
Year Published:
2024
Citation:
Reymark Alcantara. 2024. An Economic Analysis of Climate Resilience of Irrigated Cotton-Based Cropping Systems in the Texas High Plains Region. Major: Agricultural and Applied Economics. Graduation time: August 2024.
- Type:
Peer Reviewed Journal Articles
Status:
Accepted
Year Published:
2025
Citation:
Ghimire, B., Adedeji, O., Ritchie, G., & Guo, W. (2025). Simulating crop yields and water productivity for three cotton-based cropping systems in the Texas High Plains. Crop and Environment (Elsevier)
- Type:
Peer Reviewed Journal Articles
Status:
Accepted
Year Published:
2024
Citation:
Karn, R., Rabia, A.H., Lewis, K., Siebecker, M.G., Guo, W. (2025). Principles and application of nitrogen management in precision agriculture: A review.
- Type:
Conference Papers and Presentations
Status:
Published
Year Published:
2025
Citation:
Guo, W. (2025). Advanced technologies for precision water management. Beltwide Cotton Conference. January 14-16, 2025. New Orleans, Louisiana
- Type:
Conference Papers and Presentations
Status:
Published
Year Published:
2025
Citation:
Alcantara, R. T., Wang, C., Guo, W., Johnson, P., Che, Y. (2025). An Economic Analysis of Climate Resilience of Irrigated Cotton-Based Cropping Systems in the Texas High Plains Region. January 14-16, 2025. New Orleans, Louisiana
- Type:
Conference Papers and Presentations
Status:
Published
Year Published:
2025
Citation:
Li, S., Guo, W. (2025). Machine Learning-Based Cotton lint Yield Estimation Using Satellite Imagery. Beltwide Cotton Conference. January 14-16, 2025. New Orleans, Louisiana.
- Type:
Conference Papers and Presentations
Status:
Published
Year Published:
2025
Citation:
Wieber, E., Guo, W., Adedeji, O., Karn, R., Ghimire, B. (2025). Using UAV Remote Sensing to Assess Cotton Cultivars for Water Stress Resistance in West Texas. Beltwide Cotton Conference. January 14-16, 2025. New Orleans, Louisiana.
- Type:
Conference Papers and Presentations
Status:
Published
Year Published:
2024
Citation:
Guo, W., Ghimire, B., Alcantara, R., Wang, C., Ritchie, G., & Lege, K. (2024). A DSSAT-based framework for simulating resilience of cropping systems under climate change. ASA, CSSA, SSSA International Annual Meeting. ASA-CSSA-SSSA. San Antonio, Texas. November 9-12, 2024
- Type:
Conference Papers and Presentations
Status:
Published
Year Published:
2024
Citation:
Karn, R., Ritchie, G., Lewis, K. L., Adedeji, O., Ghimire, B., & Guo, W. (2024). Cotton yield and fiber quality response to nitrogen rates, soil physicochemical, and topography attributes. ASA, CSSA, SSSA International Annual Meeting. ASA-CSSA-SSSA. San Antonio, Texas. November 9-12, 2024.
- Type:
Conference Papers and Presentations
Status:
Published
Year Published:
2024
Citation:
Ghimire, B., Guo, W., Karn, R., Adedeji, O., Ritchie, G., Wieber, E., & Chowdhury, T. (2024). Modeling future climate change impacts on cotton production in Texas High Plains. ASA, CSSA, SSSA International Annual Meeting. ASA-CSSA-SSSA. San Antonio, Texas. November 9-12, 2024.
- Type:
Conference Papers and Presentations
Status:
Published
Year Published:
2024
Citation:
Karn, R., Hassan, A. A. M., Adedeji, O., Ghimire, B., & Guo, W. (2024). Within-field cotton yield prediction using temporal satellite imagery combined with deep learning. ASA, CSSA, SSSA International Annual Meeting. ASA-CSSA-SSSA. San Antonio, Texas. November 9-12, 2024.
- Type:
Conference Papers and Presentations
Status:
Published
Year Published:
2024
Citation:
Wieber, E., Adedeji, O., Karn, R., Ghimire, B., & Guo, W. (2024). Evaluating the Impact of Irrigation Rate, Timing, and Maturity-Based Cotton Cultivars on Yield and Fiber Quality in West Texas. 16th International Conference on Precision Agriculture, July 21-24, 2024. Manhattan, KS
- Type:
Conference Papers and Presentations
Status:
Published
Year Published:
2024
Citation:
Adedeji, O., & Guo, W. (2024). Assessing Precision Water Management in Cotton using Unmanned Aerial Systems and Satellite Remote Sensing. 16th International Conference on Precision Agriculture, July 21-24, 2024. Manhattan, KS.
- Type:
Conference Papers and Presentations
Status:
Published
Year Published:
2024
Citation:
Adedeji, O., Ghimire, B., & Guo, W. (2024). Predicting Within-field Cotton Yield Variability Using DSSAT for Decision Support in Precision Agriculture. 16th International Conference on Precision Agriculture, July 21-24, 2024. Manhattan, KS.
- Type:
Conference Papers and Presentations
Status:
Published
Year Published:
2024
Citation:
Karn, R., Adedeji, O., Ghimire, B., Abdalla, A., Sheng, V., Ritchie, G., & Guo, W. (2024). Within-field cotton yield prediction using temporal satellite imagery combined with deep learning. 16th International Conference on Precision Agriculture, July 2124, 2024. Manhattan, KS.
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Progress 03/15/23 to 03/14/24
Outputs
Target Audience:The target audience is primarily farmers and the scientific community. The project benefits farmers as it aims to promote water conservation practices and sustainable cropping systems under climate change. The scientific community is a significant audience since the project's results contribute to the body of knowledge on precision water application, water conservation and climate-smart agriculture. Efforts involved to achieve the objectives: On-farm Research: The project is conducted on commercial farms to understand the effects of site-specific water management practices on crop yields and water use efficiency. We collaborated directly with producers and crop consultants to implement these experiments. Therefore, knowledge learned from the studies is directly applicable to real-world farming. Conferences: The project team presented preliminary research findings on precision irrigation and crop modeling at four conferences targeting the scientific community and farmers. Changes/Problems:Dr. Ken Lege has agreed to serve as a co-PI to replace Dr. Murilo Maeda. Dr. Lege is an assistant professor and Extension Cotton Specialist with Texas A&M AgriLife Research and Extension. He will be responsible for extension and outreach efforts. What opportunities for training and professional development has the project provided?Three graduate students, two in agronomy and one in agricultural economics, are involved in this project. They have developed research skills through conducting research, including collecting and analyzing data, and presenting preliminary results at various conferences. These training and professional development activities will facilitate these students to achieve their education and career goals. One graduate student will produce a thesis on the economic analysis of cropping systems in response to climate change scenarios. How have the results been disseminated to communities of interest?In the second year, we focused on disseminating preliminary results to the scientific community. The team presented nine abstracts at four conferences as follows: 1) Beltwide Cotton Conference, Fort Worth, TX. January 3-5, 2024. 2) ASA, CSA, SSA Annual Conference. St. Louis, MO. October 29 - November 1, 2023. 3) International Geoscience and Remote Sensing Symposium. Pasadena, CA. July 16 - 21 2023. 4) Data-Intensive Farm Management- NC1210-CIGOFT Conference. South Padre Island, TX. Jan. 10, 2024. What do you plan to do during the next reporting period to accomplish the goals?1). Build models to predict crop yield in response to irrigation amount, planting time, and variety (maturity group) as affected by environmental factors for adaptation strategies to climate change. 2). Perform yield prediction using climate data from 19 climate models, integrating them into an ensemble to simulate and predict the resilience of cropping systems to different climate change scenarios at a regional scale. 3). Perform economic analysis of cropping systems and different soil types under various climate change scenarios for the ensemble of 19 climate models.
Impacts
What was accomplished under these goals?
1). A framework consisting of Python scripts was built to integrate soil, weather, genotype, and management data into DSSAT simulations. This framework has the potential to perform simulations at within-field, regional, and national scales under various climate change scenarios. 2). An economic analysis algorithm was developed to assess the resilience of cropping systems to climate change.
Publications
- Type:
Conference Papers and Presentations
Status:
Published
Year Published:
2023
Citation:
Ghimire, B., Karn, R., Adedeji, O., & Guo, W. (2023). Integration of remote sensing data into crop model for estimating cotton growth and yield in West Texas. Paper presented at the ASA, CSA, SSA Annual Conference, St. Louis, MO. October 29 - November 1, 2023.
- Type:
Conference Papers and Presentations
Status:
Published
Year Published:
2023
Citation:
Adedeji, O., Abdalla, A., Karn, R., Ghimire, B., Wieber, E., & Guo, W. (2023). Retrieving surface soil water content using Sentinel-1 microwave remote sensing. Paper presented at the ASA, CSA, SSA Annual Conference, St. Louis, MO. October 29 - November 1, 2023.
- Type:
Conference Papers and Presentations
Status:
Published
Year Published:
2023
Citation:
Ghimire, B., Adedeji, O., Karn, R., Ritchie, G., & Guo, W. (2023). Predicting within-field cotton yield variability using DSSAT for decision support in precision agriculture. Paper presented at the ASA, CSA, SSA Annual Conference, St. Louis, MO. October 29 - November 1, 2023.
- Type:
Conference Papers and Presentations
Status:
Published
Year Published:
2023
Citation:
Adedeji, O., Hassan, A., Ghimire, B., Wieber, E., Karn, R., & Guo, W. (2023). Cotton yield prediction using satellite remote sensing and machine learning. Paper presented at the International Geoscience and Remote Sensing Symposium, Pasadena, CA. July 16-21, 2023.
- Type:
Conference Papers and Presentations
Status:
Published
Year Published:
2024
Citation:
Guo, W. (2024). Precision irrigation for sustainable agriculture in the Southern High Plains. Paper presented at the Data-Intensive Farm Management-NC1210-CIGOFT Conference, South Padre Island, TX. January 10, 2024.
- Type:
Conference Papers and Presentations
Status:
Published
Year Published:
2024
Citation:
Ghimire, B., Adedeji, O., Karn, R., Ritchie, G., & Guo, W. (2024). Prediction of cotton yield under a changing climate using DSSAT in Texas High Plains. Paper presented at the Beltwide Cotton Conference, Fort Worth, TX. January 3-5, 2024.
- Type:
Conference Papers and Presentations
Status:
Published
Year Published:
2024
Citation:
Ghimire, B., Adedeji, O., Karn, R., Ritchie, G., & Guo, W. (2024). Application of DSSAT model to assess climate resilient cropping systems in West Texas. Paper presented at the Beltwide Cotton Conference, Fort Worth, TX. January 3-5, 2024.
- Type:
Conference Papers and Presentations
Status:
Published
Year Published:
2024
Citation:
Adedeji, O., Abdalla, A., Karn, R., Ghimire, B., Wieber, E., & Guo, W. (2024). Assessing precision irrigation management using satellite remote sensing. Paper presented at the Beltwide Cotton Conference, Fort Worth, TX. January 3-5, 2024.
- Type:
Conference Papers and Presentations
Status:
Published
Year Published:
2023
Citation:
Ghimire, B., Adedeji, O., Karn, R., Hassan, A., Wieber, E., & Guo, W. (2023). Simulation of regional cotton growth and yield using remote sensing data and crop model in West Texas. Paper presented at the International Geoscience and Remote Sensing Symposium, Pasadena, CA. July 16-21, 2023.
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Progress 03/15/22 to 03/14/23
Outputs
Target Audience:The target audience for this project was primarily farmers and the scientific community. The farmers were the primary audience since the project aimed to promote water conservation practices and sustainable cropping systems. The scientific community was also a significant audience since the project's results would contribute to the body of knowledge on precision water application, water conservation and climate-smart agriculture. Efforts involved to achieve the objectives: On-farm Research: The project conducted on-farm research to understand the effects of site-specific water management practices on crop yields and water use efficiency. We collaborated directly with producers or crop consultants to implement these experiments. Conferences: The project team presented preliminary research findings on precision irrigation and crop modeling at four conferences targeting the scientific community and farmers. Changes/Problems:Co-PI Dr. Murilo Maeda with Texas A&M AgriLife Extension, responsible for extension and outreach efforts, left his position in November 2022. This unexpected change in the research team will likely delay activities related to extension and outreach. What opportunities for training and professional development has the project provided?Three graduate students, two in agronomy and one in agricultural economics, are involved in this project. They have developed research skills through conducting research, including collecting and analyzing data, and presenting preliminary results at various conferences. These training and professional development activities will facilitate these students to achieve their education and career goals. How have the results been disseminated to communities of interest?In the first year, we focused on disseminating preliminary results to the scientific community. The team presented eight abstracts at four conferences. The variable rate irrigation results were also shared with the participating producer and a crop consultant directly involved in this study. What do you plan to do during the next reporting period to accomplish the goals?1). Implement the on-farm precision irrigation experiments and data collection for crop modeling in 2023. 2). Build models to predict crop yield in response to irrigation amounts as affected by environmental factors for within-field precision irrigation management. 3). Develop Python scripts to enable automation of DSSAT to simulate crop resilience to different climate change scenarios at a regional scale. 4). Identify a replacement scientist at Texas A&M AgriLife Extension to engage in extension and outreach activities.
Impacts
What was accomplished under these goals?
On-farm precision irrigation research was conducted in Parmer County, Texas in 2022. The first year's data facilitated modeling cotton yield responses to irrigation rates at various landscape positions and soil properties. The analysis of this dataset provided insights into precision irrigation management in a drought year. This will help develop within-field precision water management to improve water use efficiency and water conservation and protect the environment. Plant and soil data collected from more than 40 fields in 2022 and a historical dataset on cropping systems and associated water use, crop yield, and economic returns under various cropping systems helped calibrate a crop model (DSSAT) to simulate the resilience of cropping systems under different climate change scenarios. Enterprise budgets are the primary framework adopted in this study to assess the profitability of an economic enterprise. We developed enterprise budget templates for several crops under dryland and irrigated scenarios, including corn, cotton, sorghum, and wheat. Each enterprise budget will be extended into a cropping system budget on a per acre-year basis. The evaluation of cropping system resilience will be performed using simulation analyses with yield data derived from the DSSAT under various climatic conditions.
Publications
- Type:
Book Chapters
Status:
Published
Year Published:
2023
Citation:
Guo, W., Gu, H., Adedeji, O., Ghimire, B. (2023). Advances in remote/aerial sensing of crop water status. In: Lobsey, C. and Biswas, A. (ed.), Advances in Sensor Technology for Sustainable Crop Production. Burleigh Dodds Scientific Publishing, Cambridge, United Kingdom. p. 1-39.
- Type:
Conference Papers and Presentations
Status:
Published
Year Published:
2023
Citation:
Ghimire, B., Guo, W. (2023). Application of DSSAT model to simulate cotton yield response to different irrigation systems in the Southern High Plains of Texas. New Orleans, LA: Beltwide Cotton Conference.
- Type:
Conference Papers and Presentations
Status:
Published
Year Published:
2022
Citation:
Ghimire, B., Karn, R., Gu, H., Guo, W. (2022). Simulation of nitrogen uptake and yield in dryland cotton using DSSAT crop modeling. Baltimore, MD: ASA-CSSA-SSSA.
- Type:
Conference Papers and Presentations
Status:
Published
Year Published:
2022
Citation:
Adedeji, O., Guo, W. (2022). Estimation of cotton biomass using unmanned aerial systems and satellite-based remote sensing. Minneapolis, MN: International Society of Precision Agriculture.
- Type:
Conference Papers and Presentations
Status:
Published
Year Published:
2022
Citation:
Ghimire, B., Adedeji, O., Lin, Z., Guo, W. (2022). Modeling spatial and temporal variability of cotton yield using DSSAT for decision support in precision agriculture. Minneapolis, MN: International Society of Precision Agriculture.
- Type:
Conference Papers and Presentations
Status:
Published
Year Published:
2022
Citation:
Guo, W. (2022). On-farm Research on Precision Irrigation Opportunities and Challenges in a Semi-arid Environment. Data-Intensive Farm Management- NC1210-CIGOFT Conference. Corpus Christi, TX: University of Illinois.
- Type:
Conference Papers and Presentations
Status:
Published
Year Published:
2023
Citation:
Adedeji, O., Ghimire, B., Karn, R., Wieber, E., Guo, W. (2023). Estimation of Cotton Plant height using UAS and RTK-GNSS technology. New Orleans, LA: Beltwide Cotton Conference.
- Type:
Conference Papers and Presentations
Status:
Published
Year Published:
2022
Citation:
Adedeji, O., Wieber, E., Karn, R., Ghimire, B., Guo, W. (2022). Assessment of within-field spatial variabilities and management zones for precision Irrigation in the Southern High Plains. Baltimore, MD: ASA-CSSA-SSSA.
- Type:
Conference Papers and Presentations
Status:
Published
Year Published:
2022
Citation:
Ghimire, B., Karn, R., Adedeji, O., Guo, W. (2022). Integration of remote sensing data into crop model for estimating cotton growth and yield in West Texas. Baltimore, MD: ASA-CSSA-SSSA.
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