Remote-sensing data and deep-learning techniques in crop map** and yield prediction: A systematic review

A Joshi, B Pradhan, S Gite, S Chakraborty - Remote Sensing, 2023 - mdpi.com
Reliable and timely crop-yield prediction and crop map** are crucial for food security and
decision making in the food industry and in agro-environmental management. The global …

An overview of global leaf area index (LAI): Methods, products, validation, and applications

H Fang, F Baret, S Plummer… - Reviews of …, 2019 - Wiley Online Library
Leaf area index (LAI) is a critical vegetation structural variable and is essential in the
feedback of vegetation to the climate system. The advancement of the global Earth …

The 10-m crop type maps in Northeast China during 2017–2019

N You, J Dong, J Huang, G Du, G Zhang, Y He, T Yang… - Scientific data, 2021 - nature.com
Northeast China is the leading grain production region in China where one-fifth of the
national grain is produced; however, consistent and reliable crop maps are still unavailable …

[HTML][HTML] Assimilation of remote sensing into crop growth models: Current status and perspectives

J Huang, JL Gómez-Dans, H Huang, H Ma… - Agricultural and forest …, 2019 - Elsevier
Timely monitoring of crop lands is important in order to make agricultural activities more
sustainable, as well as ensuring food security. The use of Earth Observation (EO) data …

Crop yield estimation based on assimilation of crop models and remote sensing data: A systematic evaluation

L Luo, S Sun, J Xue, Z Gao, J Zhao, Y Yin, F Gao… - Agricultural …, 2023 - Elsevier
CONTEXT With the warming trend and the increasing frequency of extreme weather events,
accurate crop yield estimation is becoming urgent. Crop yield estimation mainly consists of …

Integrating multi-source data for rice yield prediction across China using machine learning and deep learning approaches

J Cao, Z Zhang, F Tao, L Zhang, Y Luo, J Zhang… - Agricultural and Forest …, 2021 - Elsevier
Timely and reliable yield prediction at a large scale is imperative and prerequisite to prevent
climate risk and ensure food security, especially with climate change and increasing …

Grain yield prediction of rice using multi-temporal UAV-based RGB and multispectral images and model transfer–a case study of small farmlands in the South of China

L Wan, H Cen, J Zhu, J Zhang, Y Zhu, D Sun… - Agricultural and Forest …, 2020 - Elsevier
Timely and accurate crop monitoring and yield forecasting before harvesting are valuable for
precision management, policy and decision making, and marketing. The aim of this study is …

The improved winter wheat yield estimation by assimilating GLASS LAI into a crop growth model with the proposed Bayesian posterior-based ensemble Kalman filter

H Huang, J Huang, Y Wu, W Zhuo… - … on Geoscience and …, 2023 - ieeexplore.ieee.org
Data assimilation has been demonstrated as the potential crop yield estimation approach.
Accurate quantification of model and observation errors is the key to determining the …

[HTML][HTML] An LSTM neural network for improving wheat yield estimates by integrating remote sensing data and meteorological data in the Guanzhong Plain, PR China

H Tian, P Wang, K Tansey, J Zhang, S Zhang… - Agricultural and Forest …, 2021 - Elsevier
Crop growth condition and production play an important role in food management and
economic development. Therefore, estimating yield accurately and timely is of vital …

[HTML][HTML] Winter wheat yield prediction at county level and uncertainty analysis in main wheat-producing regions of China with deep learning approaches

X Wang, J Huang, Q Feng, D Yin - Remote Sensing, 2020 - mdpi.com
Timely and accurate forecasting of crop yields is crucial to food security and sustainable
development in the agricultural sector. However, winter wheat yield estimation and …