Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Review on Convolutional Neural Networks (CNN) in vegetation remote sensing
Identifying and characterizing vascular plants in time and space is required in various
disciplines, eg in forestry, conservation and agriculture. Remote sensing emerged as a key …
disciplines, eg in forestry, conservation and agriculture. Remote sensing emerged as a key …
[HTML][HTML] Transformative technologies in digital agriculture: Leveraging Internet of Things, remote sensing, and artificial intelligence for smart crop management
This paper explores the potential of smart crop management based on the incorporation of
tools like digital agriculture, which considers current technological tools applied in …
tools like digital agriculture, which considers current technological tools applied in …
Towards paddy rice smart farming: a review on big data, machine learning, and rice production tasks
Big Data (BD), Machine Learning (ML) and Internet of Things (IoT) are expected to have a
large impact on Smart Farming and involve the whole supply chain, particularly for rice …
large impact on Smart Farming and involve the whole supply chain, particularly for rice …
[HTML][HTML] Object detection and image segmentation with deep learning on Earth observation data: A review—Part II: Applications
In Earth observation (EO), large-scale land-surface dynamics are traditionally analyzed by
investigating aggregated classes. The increase in data with a very high spatial resolution …
investigating aggregated classes. The increase in data with a very high spatial resolution …
Satellite image time series classification with pixel-set encoders and temporal self-attention
Satellite image time series, bolstered by their growing availability, are at the forefront of an
extensive effort towards automated Earth monitoring by international institutions. In …
extensive effort towards automated Earth monitoring by international institutions. In …
Monitoring agriculture areas with satellite images and deep learning
Agriculture applications rely on accurate land monitoring, especially paddy areas, for timely
food security control and support actions. However, traditional monitoring requires field …
food security control and support actions. However, traditional monitoring requires field …
Deep machine learning with Sentinel satellite data to map paddy rice production stages across West Java, Indonesia
Indonesia recently implemented a novel, technology-driven approach for conducting
agricultural production surveys, which involves monthly observations at many thousands of …
agricultural production surveys, which involves monthly observations at many thousands of …
Map** paddy rice by the object-based random forest method using time series Sentinel-1/Sentinel-2 data
Rice is one of the world's major staple foods, especially in China. In this study, we proposed
an object-based random forest (RF) method for paddy rice map** using time series …
an object-based random forest (RF) method for paddy rice map** using time series …
Large-scale rice map** under different years based on time-series Sentinel-1 images using deep semantic segmentation model
Identifying spatial distribution of crop planting in large-scale is one of the most significant
applications of remote sensing imagery. As an active remote sensing system, synthetic …
applications of remote sensing imagery. As an active remote sensing system, synthetic …
Evaluating the efficiency of coarser to finer resolution multispectral satellites in map** paddy rice fields using GEE implementation
Timely and accurate estimation of rice-growing areas and forecasting of production can
provide crucial information for governments, planners, and decision-makers in formulating …
provide crucial information for governments, planners, and decision-makers in formulating …