Conference Workshops
These workshops are an optional, add on to the 17th ICPA and 11th ConBAP. All workshops will take place on Monday, July 13th beginning at 8:30am. Capacity is limited to 25 people per workshop. The deadline to register for a workshop is 12 June 2026.
Conference attendees may add-on the Workshop for an additional $25 USD (or BRL 120) during the registration process. If you have already registered, you can add a workshop to your order by completing the Add On Registration Form. You will need your order number to complete the form. If you have questions, please email conference@ispag.org.
Drones as a Tool for Digital Agriculture in Soil and Water Management and Conservation
Instructor: André Müllich
Schedule: 8:30 AM - 11:30 AM
The use of drones in agriculture has evolved rapidly; however, it is still underutilized in one of the most strategic areas of agricultural production: conservation planning of the terrain.
This short course proposes a practical and applied approach on how to use imaging drones for planialtimetric digitalization of agricultural areas, focusing on soil and water management and conservation. Based on the generation of digital surface and terrain models (DSM/DTM), techniques will be demonstrated for extracting contour lines, slope analysis, identifying areas with higher erosion potential, and risk zoning for soil loss.
Based on these digital products, participants will learn how to transform raw data into technical decisions, developing projects such as contour-aligned planting, terrace planning, containment lines, and optimization of agricultural machinery traffic, integrating digital agriculture with classical conservation practices.
The workshop’s differential lies in connecting accessible technology (mapping drones), specialized software processing, and agronomic application based on soil conservation principles.
Target audience: Students, Researchers, and PA Companies
Language: English
Farmer-centric OFE: What’s in it for Scientists?
Instructors: Myrtille Lacoste, Louis Longchamps, and Katie Rohrbaugh
Schedule: 8:30 AM - 12:30 PM
Farmers experiment on their farm every year to learn how to use new inputs, techniques and technologies, but also to invent new ways to farm. This has been the process through which agriculture has evolved over the last millennia; they do it whether or not scientists are involved. Traditionally, scientists have not been involved because of the lack of scientific rigor in farmer-led OFE. However, digital agriculture opens new possibilities for learning from farmer-centric OFE. But why would scientists want to be involved, what’s in it for them.
The workshop will conduct discussions among scientists to better define the value proposition of farmer-centric OFE via seminars, small group activities, and discussions. The outputs of these discussions will be compiled to generate a publication defining the value proposition of farmer-centric OFE for scientists.
Target audience: Scientists, Agronomists, Practitioners, and Farmers
Requirements: Participants will be asked to consult documentation ahead of the workshop but no equipment will be needed from them during the workshop.
Language: English
Generative AI Applied to Precision Agriculture
SOLD OUT
Instructor: Guilherme Sanches
Schedule: 8:30 AM - 11:30 AM
A practical and straight-to-the-point workshop aimed at agronomists, consultants, researchers, and managers who want to use Generative Artificial Intelligence to transform agricultural data into faster, more technical, and more accurate decisions.
During 3 hours of immersion, participants will learn how to apply generative AI tools in the routine of Precision Agriculture (PA) — from analyzing maps, sampling plans, and productivity spreadsheets to creating agronomic recommendations and intelligent agents to support decision-making.
The content combines essential fundamentals with practical applications, demonstrating how to integrate AI with PA data, accelerate agronomic diagnostics, and build intelligent workflows that increase operational efficiency.
What participants will learn:
- Key concepts of Generative AI applied to agriculture
- Pipeline for using generative AI with PA data
- Use of ChatGPT and other AI tools for agronomic data analysis
- Creation of agronomic prompts and simple AI agents
- Practical cases in Digital and Precision Agriculture
By the end, participants will have a clear understanding of how to use generative AI as a technical ally in agricultural management — going far beyond basic chatbot usage.
Target audience: Students, Researchers, and Professionals
Requirements: Participants, please bring your laptop to the workshop
Language: Portuguese
QGIS Applied to Precision Agriculture: Mapping and Spatial Analysis of Agricultural Areas
Instructor: Victor Rosário de Novais
Schedule: 8:30 AM - 11:30 AM
This course presents the fundamentals and applications of QGIS in precision agriculture, focusing on mapping and spatial analysis of agricultural areas. Participants will learn how to use GIS tools to organize, visualize, and interpret geographic data for agricultural planning and management.
Topics include geoprocessing basics, data manipulation, thematic mapping, and spatial analysis for crop diagnosis and monitoring.
Target audience: Undergraduate and Graduate Students, Agricultural Technicians, Extension Professionals, and Researchers
Requirements: Laptop with QGIS installed and basic computer knowledge
Language: Portuguese
Requirements: Laptop with QGIS installed and basic computer knowledge
Language: Portuguese
Step-by-Step Precision Fruit Farming
Instructors: Luciano Gebler and Luis Henrique Bassoi
Schedule: 8:30 AM - 11:30 AM
Guidelines on how to implement a precision fruit farming system in perennial crops, considering abiotic aspects (fertility, water, and climate) and biotic aspects (physiology, human activities, and harvesting), in order to structure the full cycle of precision agriculture.
Target audience: Technicians, Students, and Researchers
Language: English
Training in Using difm.farm in On-Farm Precision Experimentation
Instructor: David Bullock
Schedule: 8:30 AM - 11:30 AM
This very hands-on workshop will teach participants to use all components of the difm.farm platform, which will allow them to run full-field, on-farm precision experiments (OFPEs) on their own fields. Hundreds of crop consultants, farmers, academics and professional agronomists in the U.S., Canada, and South African are now using difm.farm to run agronomic field trials using precision agriculture technology. difm.farm is a public resource developed by the Data-Intensive Farm Management Project, which is a consortium of agricultural researchers from over 30 academic institutions. difm.farm can be used for free by anyone with internet access. Interested parties can go to https://difm.farm to learn more.
What participants will learn how to use the user-friendly difm.farm platform to:
- to design full-field “checkerboard” agronomic trials that can be easily implemented with precision agriculture technology;
- to implement the trials (“put them in the ground”);
- to upload trial data and field characteristics data;
- to process the data;
- to use difm.farm to analyze the data;
- to produce reports on the implications of the data for profitable input application management.
Target audience: Farmers, Crop Consultants, Agricultural Cooperatives, Professional Researchers
Requirements: Participants will need to bring their laptops to the workshop
Language: English, but people with limited English proficiency should be able to follow along
Language: English, but people with limited English proficiency should be able to follow along