[HTML][HTML] CropSight: Towards a large-scale operational framework for object-based crop type ground truth retrieval using street view and PlanetScope satellite imagery

Y Liu, C Diao, W Mei, C Zhang - ISPRS Journal of Photogrammetry and …, 2024 - Elsevier
Crop type maps are essential in informing agricultural policy decisions by providing crucial
data on the specific crops cultivated in given regions. The generation of crop type maps …

[HTML][HTML] EMET: An emergence-based thermal phenological framework for near real-time crop type mapping

Z Yang, C Diao, F Gao, B Li - ISPRS Journal of Photogrammetry and …, 2024 - Elsevier
Near real-time (NRT) crop type mapping plays a crucial role in modeling crop development,
managing food supply chains, and supporting sustainable agriculture. The low-latency …

[HTML][HTML] Leveraging Remote Sensing-Derived Dynamic Crop Growth Information for Improved Soil Property Prediction in Farmlands

J Geng, Q Tan, Y Zhang, J Lv, Y Yu, H Fang, Y Guo… - Remote Sensing, 2024 - mdpi.com
Rapid and accurate mapping of soil properties in farmlands is crucial for guiding agricultural
production and maintaining food security. Traditional methods using spectral features from …

ML-Based Yield Prediction in Smart Agriculture Systems Using IoT

C Prathap, S Sivaranjani… - 2024 5th International …, 2024 - ieeexplore.ieee.org
The Internet of Things (IoT) and machine learning (ML) are two of the most rapidly
expanding academic areas.“Smart x” systems that utilize ML and IoT include smart houses …