Learning Visual Patterns in Remote Sensing: An Overview of Agricultural Applications
MP da Silva, MAR Schaefer, HN Oliveira… - 2024 37th SIBGRAPI …, 2024 - ieeexplore.ieee.org
Deep Learning based on Remote Sensing has become a powerful tool to increase
agricultural productivity, mitigate the effects of climate change, and monitor deforestation …
agricultural productivity, mitigate the effects of climate change, and monitor deforestation …
Red Teaming Models for Hyperspectral Image Analysis Using Explainable AI
Remote sensing (RS) applications in the space domain demand machine learning (ML)
models that are reliable, robust, and quality-assured, making red teaming a vital approach …
models that are reliable, robust, and quality-assured, making red teaming a vital approach …
Enhanced Infield Agriculture with Interpretable Machine Learning Approaches for Crop Classification
The increasing popularity of Artificial Intelligence in recent years has led to a surge in
interest in image classification, especially in the agricultural sector. With the help of …
interest in image classification, especially in the agricultural sector. With the help of …
From Tradition to Transformation: Deep and Self-Supervised Learning Approaches for Remote Sensing in Agriculture and Environmental Change
M Pinto da Silva, S PLP Correa… - Nunes, Ian and dos …, 2024 - papers.ssrn.com
Abstract Deep Learning based on Remote Sensing has become a powerful tool to increase
agricultural productivity, mitigate the effects of climate change, and monitor deforestation …
agricultural productivity, mitigate the effects of climate change, and monitor deforestation …