Results 1 to 10 of about 74,098 (264)

Cropformer: A new generalized deep learning classification approach for multi-scenario crop classification [PDF]

Frontiers in Plant Science, 2023
Accurate and efficient crop classification using remotely sensed data can provide fundamental and important information for crop yield estimation. Existing crop classification approaches are usually designed to be strong in some specific scenarios but ...
Hengbin Wang, Wanqiu Chang, Yu Yao, Zhiying Yao, Yuanyuan Zhao, Yuanyuan Zhao, Shaoming Li, Shaoming Li, Zhe Liu, Zhe Liu, Xiaodong Zhang, Xiaodong Zhang   +11 more
doaj   +2 more sources

An Interannual Transfer Learning Approach for Crop Classification in the Hetao Irrigation District, China

Remote Sensing, 2022
Crop type classification is critical for crop production estimation and optimal water allocation. Crop type data are challenging to generate if crop reference data are lacking, especially for target years with reference data missed in collection.
Yueran Hu, Hongwei Zeng, Fuyou Tian, Miao Zhang, Bingfang Wu, Sven Gilliams, Sen Li, Yuanchao Li, Yuming Lu, Honghai Yang   +9 more
doaj   +3 more sources

On the performance of fusion based planet-scope and Sentinel-2 data for crop classification using inception inspired deep convolutional neural network. [PDF]

PLoS ONE, 2020
This research work aims to develop a deep learning-based crop classification framework for remotely sensed time series data. Tobacco is a major revenue generating crop of Khyber Pakhtunkhwa (KP) province of Pakistan, with over 90% of the country's ...
Nasru Minallah, Mohsin Tariq, Najam Aziz, Waleed Khan, Atiq Ur Rehman, Samir Brahim Belhaouari   +5 more
doaj   +2 more sources

Crop Classification Based on Temporal Signatures of Sentinel-1 Observations over Navarre Province, Spain

Remote Sensing, 2020
Crop classification provides relevant information for crop management, food security assurance and agricultural policy design. The availability of Sentinel-1 image time series, with a very short revisit time and high spatial resolution, has great ...
María Arias, Miguel Ángel Campo-Bescós, Jesús Álvarez-Mozos   +2 more
doaj   +3 more sources

Crop Classification Based on Red Edge Features Analysis of GF-6 WFV Data [PDF]

Sensors, 2021
Youfeng Zou
exaly   +2 more sources

Crop classification with deep convolutional neural network based on crop feature [PDF]

علوم محیطی, 2022
Introduction:Given that agriculture has the most important role in ensuring food security (Johnston & Kilby,1989), it is necessary to prepare a map that shows the spatial distribution, land area, and type of crops cultivated with high accuracy (Cai et al.
Mohamad Reza Gili, Davoud Ashourloo, Hosein Aghighi, Ali Akbar Matkan, Alireza SHakiba   +4 more
doaj   +1 more source

Agricultural Land Cover Mapping through Two Deep Learning Models in the Framework of EU’s CAP Activities Using Sentinel-2 Multitemporal Imagery

Remote Sensing, 2023
The images of the Sentinel-2 constellation can help the verification process of farmers’ declarations, providing, among other things, accurate spatial explicit maps of the agricultural land cover.
Eleni Papadopoulou, Giorgos Mallinis, Sofia Siachalou, Nikos Koutsias, Athanasios C. Thanopoulos, Georgios Tsaklidis   +5 more
doaj   +1 more source

A Study of Apple Orchards Extraction in the Zhaotong Region Based on Sentinel Images and Improved Spectral Angle Features

Applied Sciences, 2023
Zhaotong City in Yunnan Province is one of the largest apple growing bases in China. However, the terrain of Zhaotong City is complicated, and the rainy weather is more frequent, which brings difficulties to the identification of apple orchards by remote
Jingming Lu, Weiwei Song, Xiaoqing Zuo, Daming Zhu, Qunlan Wei   +4 more
doaj   +1 more source

Early Identification of Crop Type for Smallholder Farming Systems Using Deep Learning on Time-Series Sentinel-2 Imagery

Sensors, 2023
Climate change and the COVID-19 pandemic have disrupted the food supply chain across the globe and adversely affected food security. Early estimation of staple crops can assist relevant government agencies to take timely actions for ensuring food ...
Haseeb Rehman Khan, Zeeshan Gillani, Muhammad Hasan Jamal, Atifa Athar, Muhammad Tayyab Chaudhry, Haoyu Chao, Yong He, Ming Chen   +7 more
doaj   +1 more source

Using Remote Sensing Vegetation Indices for the Discrimination and Monitoring of Agricultural Crops: A Critical Review

Agronomy, 2023
The agricultural sector is currently confronting multifaceted challenges such as an increased food demand, slow adoption of sustainable farming, a need for climate-resilient food systems, resource inequity, and the protection of small-scale farmers ...
Roxana Vidican, Anamaria Mălinaș, Ovidiu Ranta, Cristina Moldovan, Ovidiu Marian, Alexandru Ghețe, Ciprian Radu Ghișe, Flavia Popovici, Giorgiana M. Cătunescu   +8 more
doaj   +1 more source