Crop Type Identification Using High-Resolution Remote Sensing Images Based on an Improved DeepLabV3+ Network

Z Chang, H Li, D Chen, Y Liu, C Zou, J Chen, W Han… - Remote Sensing, 2023 - mdpi.com
Remote sensing technology has become a popular tool for crop classification, but it faces
challenges in accurately identifying crops in areas with fragmented land plots and complex …

[HTML][HTML] A source-free unsupervised domain adaptation method for cross-regional and cross-time crop mapping from satellite image time series

S Mohammadi, M Belgiu, A Stein - Remote Sensing of Environment, 2024 - Elsevier
Precise and timely information about crop types plays a crucial role in various agriculture-
related applications. However, crop type mapping methods often face significant challenges …

Attention mechanism-combined LSTM for grain yield prediction in China using multi-source satellite imagery

F Liu, X Jiang, Z Wu - Sustainability, 2023 - mdpi.com
Grain yield prediction affects policy making in various aspects such as agricultural
production planning, food security assurance, and adjustment of foreign trade. Accurately …

Deep Learning and Computer Vision Techniques for Enhanced Quality Control in Manufacturing Processes

MR Islam, MZH Zamil, ME Rayed, MM Kabir… - IEEE …, 2024 - ieeexplore.ieee.org
Ensuring product quality and integrity is paramount in the rapidly evolving landscape of
industrial manufacturing. Although effective to a certain degree, traditional quality control …

High-Resolution National-Scale Mapping of Paddy Rice Based on Sentinel-1/2 Data

C Huang, S You, A Liu, P Li, J Zhang, J Deng - Remote Sensing, 2023 - mdpi.com
Rice has always been one of the major food sources for human beings, and the monitoring
and planning of cultivation areas to maintain food security and achieve sustainable …

Semantic segmentation of satellite images for crop type identification in smallholder farms

PK Buttar, MK Sachan - The Journal of Supercomputing, 2024 - Springer
Accurate and reliable crop type identification from satellite images provides a foundation for
crop yield predictions which paves the way to help ensure food security. Most of the work …

Precision crop mapping: within plant canopy discrimination of crop and soil using multi-sensor hyperspectral imagery

C Manohar Kumar, SS Jha, RR Nidamanuri… - Scientific Reports, 2024 - nature.com
Leveraging diverse optomechanical and imaging technologies for precision agriculture
applications is gaining attention in emerging economies. The precise spatial detection of …

Fine-Scale (10 m) Dynamics of Smallholder Farming through COVID-19 in Eastern Thailand

G Chen, C Hammelman, S Anantsuksomsri… - Remote Sensing, 2024 - mdpi.com
This study aims to understand the spatiotemporal changes in patterns of tropical crop
cultivation in Eastern Thailand, encompassing the periods before, during, and after the …

Early Crop Identification Study Based on Sentinel-1/2 Images with Feature Optimization Strategy

J Luo, M Xie, Q Wu, J Luo, Q Gao, X Shao, Y Zhang - Agriculture, 2024 - mdpi.com
The timely and accurate mapping of crop types is crucial for agricultural insurance, futures,
and assessments of food security risks. However, crop mapping is currently focused on the …

Sentinel-2 image based smallholder crops classification and accuracy assessment by UAV data

K Maolan, Y Rusuli, Z XuHui, Y Kuluwan - Geocarto International, 2024 - Taylor & Francis
Timely and accurate extraction of crop planting units plays a critical role in crop yield
estimation, soil management, food supplies, and disaster warnings. However, precisely …