Remote Sensing

Sahaj Patel, Jesse Chintanadilok, Brittany Hall-Scharf, Yilin Zhuang, Joseph Strickland, and Aditya Singh

This publication aims to help UAS operators become familiar with advanced data processing tools integrated into the WebODM FOSS. The central aim of this publication is to underscore the process and sequence involved in producing data and outcomes by acquainting users with the fundamental features of WebODM. Written by Sahaj Patel, Jesse Chintanadilok, Brittany Hall-Scharf, Yilin Zhuang, Joseph Strickland, and Aditya Singh, and published by the UF/IFAS Department of Agricultural and Biological Engineering, February 2024.

Melpomeni Zoka, Tad Trimarco, yNikolaos Tziolas

Earth observation satellite data can provide valuable, field-scale information to support growers’ management decisions involving crop conditions, soil organic carbon, and water stress. Despite the rapid growth of these data and the geospatial platforms to access them, many farmers and land managers still struggle to use these resources in daily decision-making. This information is commonly presented in complex formats that non-expert users cannot easily translate into clear, confident, and timely decisions. Geospatial artificial intelligence (GeoAI) agents may offer a promising solution. Imagine asking a question and instantly getting a map-based answer with a short explanation and recommendation. This publication introduces the emerging concept of conversational GeoAI platforms, demonstrates what current tools can and cannot do, outlines key challenges, and discusses how these technologies may support future agricultural decision-making for farmers, consultants, and Extension agents.