Luciano S. Shiratsuchi
Precision Agriculture Consultant
Owner / CEO of the Precision AgX LLC
PO Box 9617
College Station - TX
77842
Luciano S. Shiratsuchi
Precision Agriculture Consultant
Owner / CEO of the Precision AgX LLC
PO Box 9617
College Station - TX
77842
Provide consultant services in the area of precision agriculture.
Generate practical solution for farmers in the area of soil fertility and remote sensing using spatial statistics, machine learning and artificial intelligence (AI).
Chair of the Precision Agriculture System Community of the American Society of Agronomy during 2 mandates where hold the first scientific meeting in the ASA where the focus were AI and machine learning in precision agriculture. (https://scisoc.confex.com/scisoc/2021am/meetingapp.cgi/Session/21785)
Work with farmers in Mato Grosso, Goias and Bahia (Brazil), Corn Belt in Nebraska, Cotton Farmers in Louisiana and Texas.
Perform validation of new sensors that collect big data to generate solutions to support variable rate technology.
Work collaboratively with crop consultants, startup companies and commodity groups.
Former coordinator and creator of the LSU Digital Ag Program.
Member of the Werner L. Nelson Award Committee for the American Society of Agronomy (ASA-CSSA-SSSA) in 2013 and 2014 (https://www.agronomy.org/membership/committees/view/A439/members/history#2014).
Address
PO Box 9617
College Station - Texas
77842
USA
Email: luciano@precisionagx.com
Education
PhD : Agronomy - University of Nebraska - Lincoln (UNL)
Specialization: Agricultural Engineering - Federal University of Pelotas (UFPel)
BS and MS : Agronomy - University of Sao Paulo (USP - ESALQ)
Language knowledge
English (Reading - good; Writing - good; Speaking - good; Listening - good)
Portuguese (Reading - good; Writing - good; Speaking - good; Listening - good)
Spanish (Reading - good; Writing - basic; Speaking - basic; Listening - good)
Professional Experiences
Jan2024 - present: Precision Agriculture Consultant at PrecisionAgX LLC, College Station - Texas
Set 2020 - Dec 2021: Leader of Precision Agricultural System community for the American Society of Agronomy for 2 mandates.
Jan 2018 - Dec 2023: Associate Professor, Louisiana State University Agricultural Center (LSU), Baton Rouge – LA, USA
2012- 2017: Research Scientist - Embrapa - Precision Agriculture and Remote Sensing in Sinop, Mato Grosso, Brazil
2008-2011: Graduate Research Assistant, University of Nebraska – Lincoln, USA
2002-2007: Research Scientist – Embrapa - Precision Agriculture and Remote Sensing in Brasilia - DF, Brazil
2000 - 2001: Visiting Scholar - University of Idaho - Hyperspectral remote sensing in Moscow - ID, USA
1999-2000: Agronomist, Inoue Farm Enterprise, Cesario Lange, Sao Paulo, Brazil
1997-1998: Intern, Department of Production and Transport of Sugarcane, Dedini Sugar and Ethanol CO, Vargem Grande do Sul, Sao Paulo, Brazil
1995-1997: Research Associate, University of Sao Paulo – USP/ESALQ, Piracicaba, Sao Paulo, Brazil
Complimentary Education
2024 - Technology-based business transformation. Massachusetts Institute of Technology. MIT. Instructor: Dr. Irving Wladawsky-Berger
2023 - Crop mapping using synthetic aperture radar (SAR) and optical remote sensing. NASA
2020 – Machine Learning. Harvard University. Instructor: Dr. Rafael Irrizary
2017 – APSIM Crop Model Training. Iowa State University. Instructor: Dr. Sotirious Archantoulis
2016 – NetCDF: An ecologyst guide to work with Daymett. NASA National Lab. Instructor: Dr. Jennifer Brennan
2014 – Light Detection and Ranging (LIDAR) Training. Embrapa West Amazon
2009 – Quantitative Remote Sensing. CALMIT – Lincoln, Nebraska. Instructor: Dr. Anatoly Gitelson
2005 – Geostatitics. Embrapa Headquarters. Instructor: Dr. Paulo Justiniano Ribeiro
2005 – R programming. Federal University of Parana (UFPR). Instructor: Dr. Antonio Carlos Goncalves
2004 – Open source and free GIS systems. Brazilian Ministry of Science and Technology
2003 – MODIS satellite imagery. Federal University of Goias (UFG). Instructor: Dr. Alfredo Huete and Laerte Ferreira
2001 – Hyperspectral signature. University of Idaho. Instructor: Dr. Lawrence Lass
Curriculum
Who is Luciano Shiratsuchi?
Answer from Grok AI in 03/03/2025
I was impressed how Grok came up with such accuracy
Luciano Shiratsuchi is a prominent figure in precision agriculture, with a career spanning over two decades, marked by a blend of academic research, industry application, and consultancy. Below is an overview of his career trajectory and some key research projects, based on available information up to March 3, 2025.
Career Overview
Shiratsuchi’s career began in Brazil, where he earned his BS and MS in Agronomy from the University of São Paulo (ESALQ). He worked as a researcher at the Brazilian Agricultural Research Corporation (EMBRAPA) from 2002 to 2017, focusing on precision agriculture and remote sensing. During this period, he held roles such as Precision Agriculture Researcher and Remote Sensing Laboratory Coordinator, primarily working with crops like cotton, corn, and soybeans in regions like Brasília and Mato Grosso. His early work included a stint as a Visiting Scholar at the University of Idaho (2000-2001), where he explored hyperspectral remote sensing.
In 2011, he completed his PhD in Agronomy (Soil Science) at the University of Nebraska-Lincoln, deepening his expertise in geostatistics and soil science. After returning to EMBRAPA until 2017, he joined Louisiana State University (LSU) in January 2018 as an Associate Professor at the LSU AgCenter. At LSU, he worked until December 2023, collaborating with farmers, researchers, and commodity groups on large-scale, on-farm experiments. Since January 2024, he has been the Owner and CEO of Precision AgX LLC, a consultancy based in College Station, Texas, applying his expertise to practical farming solutions across the U.S. and Brazil.
Key Research Projects
On-Farm Precision Experimentation (OFPE)
Focus: Shiratsuchi has been a pioneer in on-farm research, designing large-scale experiments using precision ag technologies like drones, soil electrical conductivity sensors, and yield monitors. This work aims to optimize crop management by testing variables like seeding rates and fertilizer applications in real-world conditions.
Example: At LSU, he led trials on soybean varieties and corn hybrids, using drone imagery and soil variability mapping to correlate plant vigor (e.g., NDVI data) with yield outcomes. A 2020 LSU AgCenter report highlighted his efforts to help farmers select site-specific crop varieties beyond traditional yield metrics, showing how some high-yielding varieties weren’t always the most profitable.
Impact: He proposed a web database for on-farm precision experimentation results, starting with cooperator farmers’ data, to create a scalable resource for spatial agricultural insights.
Data-Intensive Farm Management (DIFM) Project
Collaboration: Shiratsuchi contributed to this USDA-funded project (2016-2019), led by David Bullock at the University of Illinois, which used precision tech to run randomized agronomic trials on commercial fields.
Contribution: At LSU, he and Lisa Fultz secured $70,000 internally to build a Digital Agriculture Laboratory in 2018. This lab supported DIFM by processing and storing cloud-based spatial data, using tools like drones and on-the-go sensors to enhance teaching and research.
Outcome: The project provided farmers with data-driven, site-specific input management guidance, improving economic and environmental outcomes. Shiratsuchi’s role emphasized validating new sensors for big data collection.
Soil Fertility and Remote Sensing Applications
Focus: Throughout his career, he’s integrated geostatistics, machine learning, and AI to improve soil fertility management and remote sensing. At EMBRAPA, he worked on variable rate technology for inputs like fertilizers, tailored to soil spatial patterns.
Precision AgX LLC: His consultancy extends this research, offering solutions for farmers in regions like the U.S. Corn Belt and Brazil’s Mato Grosso. Projects include validating sensors for big data and generating variable rate prescriptions to boost efficiency.
Publication: His work is reflected in over 912 citations on Google Scholar, with studies on precision ag tools and their practical applications.
Leadership in Precision Agriculture Community
Role: From 2020 to 2021, Shiratsuchi chaired the Precision Agriculture System Community of the American Society of Agronomy for two terms. He organized the first ASA meeting focused on AI and machine learning in precision ag in 2021, showcasing his influence in pushing tech frontiers.
Significance: This bridged academic research with industry needs, fostering collaboration on cutting-edge tools like AI-driven crop management.
Career Themes and Impact
Shiratsuchi’s work consistently emphasizes practical, farmer-centric solutions. His research projects often involve validating new technologies—sensors, drones, and machinery—to turn raw data into actionable strategies. At LSU, he built infrastructure like the Digital Agriculture Lab to train students and support multi-disciplinary research. Through Precision AgX LLC, he’s now translating this expertise into consultancy, working directly with farmers to tackle challenges like soil variability and resource efficiency.
His career reflects a shift from foundational research in Brazil and the U.S. to applied innovation, with a global reach spanning the Americas. If you’d like specifics on a particular project or phase of his career, let me know—I can dig deeper!