A systematic literature review on crop yield prediction with deep learning and remote sensing
Deep learning has emerged as a potential tool for crop yield prediction, allowing the model
to automatically extract features and learn from the datasets. Meanwhile, smart farming …
to automatically extract features and learn from the datasets. Meanwhile, smart farming …
Do crop sensors promote improved nitrogen management in grain crops?
AF Colaço, RGV Bramley - Field Crops Research, 2018 - Elsevier
Crop sensing technologies to aid nitrogen management in grain crops have been the focus
of an important element of Precision/Digital Agriculture research. We review sensor-based …
of an important element of Precision/Digital Agriculture research. We review sensor-based …
Improving estimation of summer maize nitrogen status with red edge-based spectral vegetation indices
In recent decades, many spectral indices have been proposed to estimate crop nitrogen (N)
status parameters. However, most of the indices based on red radiation lose their sensitivity …
status parameters. However, most of the indices based on red radiation lose their sensitivity …
Hyperspectral canopy sensing of paddy rice aboveground biomass at different growth stages
Abstract Normalized Difference Vegetation Index and Ratio Vegetation Index obtained with
the fixed band GreenSeeker active multispectral canopy sensor (GS-NDVI and GS-RVI) …
the fixed band GreenSeeker active multispectral canopy sensor (GS-NDVI and GS-RVI) …
Improving nitrogen use efficiency and reducing nitrogen surplus through best fertilizer nitrogen management in cereal production: The case of India and China
China and India are the two top consumers of fertilizer nitrogen (N) in the world not only to
provide food security to 36% of the global population living in the two countries but also due …
provide food security to 36% of the global population living in the two countries but also due …
Advances in the estimations and applications of critical nitrogen dilution curve and nitrogen nutrition index of major cereal crops. A review
Nitrogen (N) is one of the decisive elements for plant growth, crop biomass accumulation,
and yield formation of cereal crops. However, managing N in crop production and …
and yield formation of cereal crops. However, managing N in crop production and …
Multitemporal crop surface models: accurate plant height measurement and biomass estimation with terrestrial laser scanning in paddy rice
Appropriate field management requires methods of measuring plant height with high
precision, accuracy, and resolution. Studies show that terrestrial laser scanning (TLS) is …
precision, accuracy, and resolution. Studies show that terrestrial laser scanning (TLS) is …
Non-destructive estimation of rice plant nitrogen status with Crop Circle multispectral active canopy sensor
Crop Circle is an active multispectral canopy sensor developed to support precision crop
management. The Crop Circle ACS-470 model is user configurable, with a choice of six …
management. The Crop Circle ACS-470 model is user configurable, with a choice of six …
Predicting rice grain yield based on dynamic changes in vegetation indexes during early to mid-growth stages
Predicting the grain yield during early to mid-growth stages is important for initial diagnosis
of rice and quantitative regulation of topdressing. In this study, we conducted four …
of rice and quantitative regulation of topdressing. In this study, we conducted four …
Machine learning-based in-season nitrogen status diagnosis and side-dress nitrogen recommendation for corn
X Wang, Y Miao, R Dong, H Zha, T **a, Z Chen… - European Journal of …, 2021 - Elsevier
Reliable and efficient in-season nitrogen (N) status diagnosis and recommendation methods
are crucially important for the success of crop precision N management (PNM). The …
are crucially important for the success of crop precision N management (PNM). The …