HR job title
- Assistant Professor and Extension Specialist
- Contact Info
- ORCiD
- 0000-0001-6870-3771
Maeda, Murilo Assistant Professor and Extension Specialist
Positions
- Assistant Professor and Extension Specialist, Soil and Crop Sciences, College of Agriculture and Life Sciences
- Overview
- Publications
- Background
- Contact
- Other
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Overview
Publications
selected publications
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academic article
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Wu, W., Hague, S. S., Jung, J., Ashapure, A., Maeda, M., Maeda, A., ... Landivar, J.
(2022).
Cotton row spacing and unmanned aerial vehicle sensors. Agronomy Journal.
114(1), 331-339.
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Chang, A., Jung, J., Yeom, J., Maeda, M. M., Landivar, J. A., Enciso, J. M., Avila, C. A., & Anciso, J. R.
(2021).
Unmanned Aircraft System- (UAS-) Based High-Throughput Phenotyping (HTP) for Tomato Yield Estimation. Journal of Sensors.
2021, 1-14.
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Jung, J., Maeda, M., Chang, A., Bhandari, M., Ashapure, A., & Landivar-Bowles, J.
(2021).
The potential of remote sensing and artificial intelligence as tools to improve the resilience of agriculture production systems. Current Opinion in Biotechnology.
70, 15-22.
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Bhandari, M., Ibrahim, A., Xue, Q., Jung, J., Chang, A., Rudd, J. C., ... Landivar, J.
(2020).
Assessing winter wheat foliage disease severity using aerial imagery acquired from small Unmanned Aerial Vehicle (UAV). Computers and Electronics in Agriculture.
176, 105665-105665.
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Ashapure, A., Jung, J., Chang, A., Oh, S., Yeom, J., Maeda, M., ... Smith, W.
(2020).
Developing a machine learning based cotton yield estimation framework using multi-temporal UAS data. ISPRS Journal of Photogrammetry and Remote Sensing.
169, 180-194.
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Chang, A., Jung, J., Maeda, M. M., Landivar, J. A., Carvalho, H., & Yeom, J.
(2020).
Measurement of Cotton Canopy Temperature Using Radiometric Thermal Sensor Mounted on the Unmanned Aerial Vehicle (UAV). Journal of Sensors.
2020, 1-7.
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Oh, S., Chang, A., Ashapure, A., Jung, J., Dube, N., Maeda, M., Gonzalez, D., & Landivar, J.
(2020).
Plant Counting of Cotton from UAS Imagery Using Deep Learning-Based Object Detection Framework. Remote Sensing.
12(18), 2981-2981.
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Enciso, J., Avila, C. A., Jung, J., Elsayed-Farag, S., Chang, A., Yeom, J., ... Chavez, J. C.
(2019).
Validation of agronomic UAV and field measurements for tomato varieties. Computers and Electronics in Agriculture.
158, 278-283.
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Ashapure, A., Jung, J., Chang, A., Oh, S., Maeda, M., & Landivar, J.
(2019).
A Comparative Study of RGB and Multispectral Sensor-Based Cotton Canopy Cover Modelling Using Multi-Temporal UAS Data. Remote Sensing.
11(23), 2757-2757.
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Ashapure, A., Jung, J., Yeom, J., Chang, A., Maeda, M., Maeda, A., & Landivar, J.
(2019).
A novel framework to detect conventional tillage and no-tillage cropping system effect on cotton growth and development using multi-temporal UAS data. ISPRS Journal of Photogrammetry and Remote Sensing.
152, 49-64.
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Yeom, J., Jung, J., Chang, A., Ashapure, A., Maeda, M., Maeda, A., & Landivar, J.
(2019).
Comparison of Vegetation Indices Derived from UAV Data for Differentiation of Tillage Effects in Agriculture. Remote Sensing.
11(13), 1548-1548.
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Maeda, M. M., Cothren, J. T., Heilman, J. L., Fernandez, C. J., Morgan, G. D., & da Costa, V. A.
(2019).
1-Methylcyclopropene Effects on Field-Grown Cotton: Morphological Characteristics and Yield. Journal of Cotton Science.
23(1), 118-130.
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Yeom, J., Jung, J., Chang, A., Maeda, M., & Landivar, J.
(2018).
Automated Open Cotton Boll Detection for Yield Estimation Using Unmanned Aircraft Vehicle (UAV) Data. Remote Sensing.
10(12), 1895-1895.
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Yang, Y., Wilson, L. T., Jifon, J., Landivar, J. A., da Silva, J., Maeda, M. M., Wang, J., & Christensen, E.
(2018).
Energycane growth dynamics and potential early harvest penalties along the Texas Gulf Coast. Biomass and Bioenergy.
113, 1-14.
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Chen, R., Chu, T., Landivar, J. A., Yang, C., & Maeda, M. M.
(2018).
Monitoring cotton (Gossypium hirsutum L.) germination using ultrahigh-resolution UAS images. Precision Agriculture.
19(1), 161-177.
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Jung, J., Maeda, M., Chang, A., Landivar, J., Yeom, J., & McGinty, J.
(2018).
Unmanned aerial system assisted framework for the selection of high yielding cotton genotypes. Computers and Electronics in Agriculture.
152, 74-81.
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Maeda, M. M., Cothren, J. T., Heilman, J. L., Fernandez, C. J., Morgan, G. D., & Da Costa, V. A.
(2018).
Molecular biology and physiology: 1-methylcyclopropene effects on field-grown cotton: Physiological characteristics. Journal of Cotton Science.
22(1), 86-96.
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Pugh, N. A., Horne, D. W., Murray, S. C., Carvalho, G., Malambo, L., Jung, J., ... Rooney, W. L
(2018).
Temporal Estimates of Crop Growth in Sorghum and Maize Breeding Enabled by Unmanned Aerial Systems. The Plant Phenome Journal.
1(1), 1-10.
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Enciso, J., Maeda, M., Landivar, J., Jung, J., & Chang, A.
(2017).
A ground based platform for high throughput phenotyping. Computers and Electronics in Agriculture.
141, 286-291.
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Chang, A., Jung, J., Maeda, M. M., & Landivar, J.
(2017).
Crop height monitoring with digital imagery from Unmanned Aerial System (UAS). Computers and Electronics in Agriculture.
141, 232-237.
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Stanton, C., Starek, M. J., Elliott, N., Brewer, M., Maeda, M. M., & Chu, T.
(2017).
Unmanned aircraft system-derived crop height and normalized difference vegetation index metrics for sorghum yield and aphid stress assessment. Journal of Applied Remote Sensing.
11(2), 026035-026035.
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Chu, T., Chen, R., Landivar, J. A., Maeda, M. M., Yang, C., & Starek, M. J.
(2016).
Cotton growth modeling and assessment using unmanned aircraft system visual-band imagery. Journal of Applied Remote Sensing.
10(3), 036018-036018.
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Wu, W., Hague, S. S., Jung, J., Ashapure, A., Maeda, M., Maeda, A., ... Landivar, J.
(2022).
Cotton row spacing and unmanned aerial vehicle sensors. Agronomy Journal.
114(1), 331-339.
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conference paper
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Chang, A., Jung, J., Yeom, J., Maeda, M., & Landivar, J.
(2018).
Phenotyping of sorghum panicles using Unmanned Aerial System (UAS) data. Proceedings of SPIE.
106640b.
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Jung, J., Ashapure, A., Maeda, M., Landivar, J., Chang, A., Yeom, J., Hague, S., & Smith, W.
(2018).
Unmanned aerial system based cotton genotype selection using machine learning (Conference Presentation). 36.
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Yeom, J., Jung, J., Chang, A., Maeda, M., & Landivar, J.
(2017).
COTTON GROWTH MODELING USING UNMANNED AERIAL VEHICLE VEGETATION INDICES. 5050-5052.
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Chang, A., Jung, J., Yeom, J., Maeda, M., & Landivar, J.
(2017).
SORGHUM PANICLE EXTRACTION FROM UNMANNED AERIAL SYSTEM DATA. 4350-4353.
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Enciso, J., Maeda, M., Landivar, J., Avila, C., Jung, J., & Chang, A.
(2016).
Unmanned Aerial System (UAS) for Precision Agriculture and Management Decisions
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Chang, A., Jung, J., Yeom, J., Maeda, M., & Landivar, J.
(2018).
Phenotyping of sorghum panicles using Unmanned Aerial System (UAS) data. Proceedings of SPIE.
106640b.
Background
education and training
- Ph.D. in Agronomy, Texas A&M University - (College Station, Texas, United States) 2015
Contact
first name
- Murilo
has last name
- Maeda
Other
In the News
- murilommaeda@tamu.edu