AfCPA 2020 was structured as a one conference, multiple-site event. The virtual main program was simulcast to 14 satellite conference sites across the continent. Partner organizations serving as satellite site hosts are listed below.
The conference’s hybrid format successfully connected registrants to an international panel of experts while also generating significant discussion on regional PA strategies within the traditional conference venues.
There is a growing need to quantify complex interactions of processes for diverse environmental conditions and crop management realities. Any study is worth very little in itself unless its data is being agglomerated with others to express conclusions valid for real use. In order to tear the agronomic data Babel Tower down, there is little alternative but to converge on standards, at least for a minimal set of them. Do you use a standard to construct your agronomic databases? If so, which one? Please fill in this two-question survey. The OFE-C will use the results to start a conversation on agronomic (management practices or treatments, soil and weather data and measurements of crop responses) standards for data and metadata.
- Creation/sharing of value and intellectual property
- Farmer-centric, co-learning and social aspects
- Data, metadata, analytics, modelling, artificial intelligence
- Transformation through policy, legislation and investment
International Crop Modeling Symposium (iCROPM2026)
- Postdoc in Digital Agronomy for Climate Resilient Perennial Agriculture
- Tenure Track Assistant Professor in soil spectroscopy at Department of Agroecology, Aarhus University
- Assistant or Associate Professor of Extension Soil Management - University of Kentucky - Department of Plant and Soil Sciences
- Precision Agriculture Technologies Extension Specialist - University of Tennessee - Biosystems Engineering and Soil Science
- Assistant Professor (Extension) - Mississippi State University - The Department of Agricultural & Biological Engineering
- University of Georgia - Assistant Professor - Extension Specialist Precision Agriculture Systems
Precision Agriculture Definition
Precision Agriculture is a management strategy that gathers, processes and analyzes temporal, spatial and individual plant and animal data and combines it with other information to support management decisions according to estimated variability for improved resource use efficiency, productivity, quality, profitability and sustainability of agricultural production.
The International Society of Precision Agriculture (ISPA) is a non-profit professional scientific organization.
The mission of ISPA is to advance the science of precision agriculture globally.
Contact newsletter@ispag.org to suggest content for future newsletters or visit www.ispag.org for more about the Society
