Murilo Minekawa Maeda

Murilo Maeda

Assistant Research Scientist
Texas A&M AgriLife Research
10345 State Hwy 44
Corpus Christi, TX 78406
(361) 265-9201
mmaeda@ag.tamu.edu

Education

Texas A&M University, College Station, TX – USA   2015, Ph.D., Agronomy
Texas A&M University, College Station, TX – USA   2012, M.S., Agronomy
Centro Universitário do Triângulo, Uberlândia, MG – Brazil , 2009, B.S., Biology

Brief Profile

Dr. Murilo Minekawa Maeda earned a bachelor’s degree in biology (2009) from Centro Universitário do Triângulo, Brazil, and a master’s and doctorate degrees in agronomy from Texas A&M University, in 2012 and 2015, respectively. In 2004, he joined Netafim Brasil as a trainee to assist in the development of precision irrigation systems for commercial coffee and citrus farms in southeast Brazil. From 2004 to 2005, worked as a trainee at TCMA Agropecuária Ltda, assisting with large soybean, cotton, and corn commercial operations across three states in southeast, mid-west, and northeast Brazil. In 2005 Maeda joined Deltapine/Monsanto’s cotton breeding program as a research assistant. In this position, he served as the breeder’s assistant, designed and conducted breeding research trials across the Brazilian cotton-growing regions, managed technicians and breeding-associated field tasks, as well as research databases. After leaving Deltapine/Monsanto in 2010, Maeda moved to College Station, TX to pursue a M.Sc. and Ph.D. degrees at Texas A&M University. While working on his degrees he served as a graduate teaching/research assistant for the cotton physiology program and the department of Soil and Crop Sciences. His degrees focused on the morphological and physiological responses of cotton (Gossypium hirsutum L.) to drought and high-temperature stress. Currently (2015 – present), Dr. Maeda serves as an Assistant Research Scientist for the Texas A&M AgriLife Research and Extension Center at Corpus Christi, TX, where he is responsible for managing the development of a cropping systems and remote sensing program for agricultural research and crop precision management applications.

Areas of Research Interest

  1. Unmanned Aerial System (UAS) platforms and methodologies for high-throughput plant phenotyping
  2. UAS-based applications for plant breeding, agricultural research, and precision management applications
  3. Cropping systems
  4. Physiology of crop growth and development
  5. Physiology of crop stress response

Main Links

UASHub Collaboration Portal
Texas A&M AgriLife Research
Department of Soil and Crop Sciences
Soil and Crop Sciences – Murilo M. Maeda

Recent Publications/Abstracts/Proceedings

Chang, A., J. Jung, M. M. Maeda and J. Landivar (2017). Crop height monitoring with digital imagery from Unmanned Aerial System (UAS). Computers and Electronics in Agriculture 141: 232-237.

Enciso, J., M. Maeda, J. Landivar, J. Jung, A. Chang. 2017. A ground based platform for high throughput phenotyping. Computers and Electronics in Agriculture: 141: 286-291.

Stanton, C., M.J. Starek, N. Elliott, M. Brewer, M.M. Maeda and T. Chu. 2017. Unmanned aircraft system-derived crop height and normalized difference vegetation index metrics for sorghum yield and aphid stress assessment. J Appl Remote Sens 11: 026035-026035. doi:10.1117/1.JRS.11.026035.

Chen R., T. Chu, J.A. Landivar, C. Yang and M.M. Maeda. 2017. Monitoring cotton (Gossypium hirsutum L.) germination using ultrahigh-resolution UAS images. Precis Agric: 1-17.

Landivar J.A., A. Maeda, M.M. Maeda, J. Jung, L. Huynh. 2017. Integration of unmanned aerial system (UAS) data and process based simulation mdodels to forecast crop growth and yield. p. 25-28. In Proc. Beltwide Cotton Conf., Dallas, TX. 4-6 Jan. 2017. Natl. Cotton Counc. Am., Memphis, TN.

Yang C., J.A. Landivar, M.M. Maeda, J. Jung, M. Starek, T. Chu, A. Chang. 2017. Comparison of aerial imagery from manned and unmanned aircraft platforms for monitoring cotton growth. p. 361-367. In Proc. Beltwide Cotton Conf., Dallas, TX. 4-6 Jan. 2017. Natl. Cotton Counc. Am., Memphis, TN.

Jung J., A. Chang, J. Yeom, J. Landivar, M.M. Maeda. 2017. Unmanned aerial system (UAS)-based asymmetric cotton growth model for high throughput phenotyping. p. 374-375. In Proc. Beltwide Cotton Conf., Dallas, TX. 4-6 Jan. 2017. Natl. Cotton Counc. Am., Memphis, TN.

Maeda M.M., J.A. Landivar, J. McGinty, A. Maeda, J. Jung, A. Chang, J. Yeom, W. Smith, S. Hague, D. Stelly, J. Dever, J. Enciso. 2017. Unmanned aerial system (UAS) platforms for cotton breeding: findings and challenges. p. 29-33. In Proc. Beltwide Cotton Conf., Dallas, TX. 4-6 Jan. 2017. Natl. Cotton Counc. Am., Memphis, TN.

Yeom J., J. Jung, A. Chang, J.A. Landivar, M.M. Maeda. 2017. Open cotton boll detection methodology using unmanned aerial system (UAS). p. 379-381. In Proc. Beltwide Cotton Conf., Dallas, TX. 4-6 Jan. 2017. Natl. Cotton Counc. Am., Memphis, TN.

Chang A., J. Jung, J. Yeom, M.M. Maeda, J.A. Landivar, H. Carvalho. 2017. Unmanned aerial system (UAS) based cotton leaf temperature measurement system. p. 376-378. In Proc. Beltwide Cotton Conf., Dallas, TX. 4-6 Jan. 2017. Natl. Cotton Counc. Am., Memphis, TN.

Chu T., R. Chen, J.A. Landivar, M.M. Maeda, C. Yang, M. Starek. 2016. “Cotton growth modeling and assessment using unmanned aircraft system visual-band imagery”, J. Appl. Remote Sens. 10(3), 036018 (Aug 23, 2016). http://dx.doi.org/10.1117/1.JRS.10.036018

Maeda M.M., J. Landivar, J. McGinty, J. Jung, R. Chen, A. Chang, J. Enciso, and T. Chu. 2016. Development of a ground-based platform for plant phenotyping and crop management decisions. p. 481-484. In Proc. Beltwide Cotton Conf., New Orleans, LA. 5-7 Jan. 2016. Natl. Cotton Counc. Am., Memphis, TN.

Landivar J., M.M. Maeda, J. McGinty, J. Jung, R. Chen, A. Chang, T. Chu, J. Enciso, and C. Yang. 2016. Integration of ground- and UAS-platforms for the evaluation of cultivar performance (phenotyping) and experimental treatments. p. 480. In Proc. Beltwide Cotton Conf., New Orleans, LA. 5-7 Jan. 2016. Natl. Cotton Counc. Am., Memphis, TN.

Jung J., A. Chang, J. Landivar, M.M. Maeda, R. Chen, T. Chu, J. Enciso, and C. Yang. 2016. Unmanned Aerial System (UAS) assisted framework for the selection of high yielding cultivars. In Proc. Beltwide Cotton Conf., New Orleans, LA. 5-7 Jan. 2016. Natl. Cotton Counc. Am., Memphis, TN.

Chang A., J. Jung, J. Landivar, M.M. Maeda, R. Chen, J. Enciso, T. Chu, C. Yang. 2016. Unmanned Aerial System (UAS) based cotton growth monitoring system. p. 485-486. In Proc. Beltwide Cotton Conf., New Orleans, LA. 5-7 Jan. 2016. Natl. Cotton Counc. Am., Memphis, TN.

Chen R., T. Chu, J. Landivar, J. Jung, C. Yang, A. Chang, J. Enciso, and M.M. Maeda. 2016. Unmanned Aerial System (UAS) for precision agriculture: First results from a growing cycle of cotton. p. 487-490. In Proc. Beltwide Cotton Conf., New Orleans, LA. 5-7 Jan. 2016. Natl. Cotton Counc. Am., Memphis, TN.

Maeda, M.M. 2015. Effects of 1-methylcyclopropene (1-MCP) on growth, yield, and physiological parameters of field grown cotton (Gossypium hirsutum L.). Ph.D. dissertation, Texas A&M University. College Station, TX.

Maeda, M.M., J.T. Cothren, C.J. Fernandez, C.T. Lewis. 2014. Cotton canopy temperature as a means of identifying crop stress and its relationship with photosynthesis and yield. p. 93-97. In Proc. Beltwide Cotton Conf., New Orleans, LA. 6-8 Jan. 2014. Natl. Cotton Counc. Am., Memphis, TN.

Maeda, M.M., J.T. Cothren, C.J. Fernandez, C.T. Lewis. 2013. Means of identifying and reducing crop stress in cotton. p. 827-829. In Proc. Beltwide Cotton Conf., San Antonio, TX. 7-10 Jan. 2013. Natl. Cotton Counc. Am., Memphis, TN.

Maeda, M.M. 2012. Advanced analysis of the responses of cotton genotypes growing under water stress. Master’s thesis, Texas A&M University. College Station, TX.

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