Advances in optical phenoty** of cereal crops
Optical sensors and sensing-based phenoty** techniques have become mainstream
approaches in high-throughput phenoty** for improving trait selection and genetic gains …
approaches in high-throughput phenoty** for improving trait selection and genetic gains …
Nitrogen gap amelioration is a core for sustainable intensification of agriculture—A concept
W Grzebisz, R Łukowiak - Agronomy, 2021 - mdpi.com
The main reason for the development of the yield gap in crop production is the inefficient
management of nitrogen (N). The nitrogen gap (NG) cannot be ameliorated without an …
management of nitrogen (N). The nitrogen gap (NG) cannot be ameliorated without an …
Estimation of corn yield based on hyperspectral imagery and convolutional neural network
W Yang, T Nigon, Z Hao, GD Paiao… - … and Electronics in …, 2021 - Elsevier
Corn is an important food crop in the world, widely distributed in many countries because of
its excellent environmental adaptability. Moreover, corn is an important feed source for …
its excellent environmental adaptability. Moreover, corn is an important feed source for …
Estimation of paddy rice nitrogen content and accumulation both at leaf and plant levels from UAV hyperspectral imagery
L Wang, S Chen, D Li, C Wang, H Jiang, Q Zheng… - Remote sensing, 2021 - mdpi.com
Remote sensing-based map** of crop nitrogen (N) status is beneficial for precision N
management over large geographic regions. Both leaf/canopy level nitrogen content and …
management over large geographic regions. Both leaf/canopy level nitrogen content and …
Evaluating the role of solar-induced fluorescence (SIF) and plant physiological traits for leaf nitrogen assessment in almond using airborne hyperspectral imagery
Accurate, spatially extensive, and frequent assessments of plant nitrogen (N) enabled by
remote sensing allow growers to optimize fertilizer applications and reduce environmental …
remote sensing allow growers to optimize fertilizer applications and reduce environmental …
A novel machine learning approach to estimate grapevine leaf nitrogen concentration using aerial multispectral imagery
Assessment of the nitrogen status of grapevines with high spatial, temporal resolution offers
benefits in fertilizer use efficiency, crop yield and quality, and vineyard uniformity. The …
benefits in fertilizer use efficiency, crop yield and quality, and vineyard uniformity. The …
Combination of continuous wavelet transform and successive projection algorithm for the estimation of winter wheat plant nitrogen concentration
X Chen, F Li, Q Chang - Remote Sensing, 2023 - mdpi.com
Plant nitrogen concentration (PNC) is a traditional standard index to measure the nitrogen
nutritional status of winter wheat. Rapid and accurate diagnosis of PNC performs an …
nutritional status of winter wheat. Rapid and accurate diagnosis of PNC performs an …
Estimation of winter wheat canopy chlorophyll content based on canopy spectral transformation and machine learning method
X Chen, F Li, B Shi, K Fan, Z Li, Q Chang - Agronomy, 2023 - mdpi.com
Canopy chlorophyll content (CCC) is closely related to crop nitrogen status, crop growth and
productivity, detection of diseases and pests, and final yield. Thus, accurate monitoring of …
productivity, detection of diseases and pests, and final yield. Thus, accurate monitoring of …
[HTML][HTML] Estimation of nitrogen in rice crops from UAV-captured images
Leaf nitrogen (N) directly correlates to chlorophyll production, affecting crop growth and
yield. Farmers use soil plant analysis development (SPAD) devices to calculate the amount …
yield. Farmers use soil plant analysis development (SPAD) devices to calculate the amount …
Uncertainty quantification of nitrogen use efficiency prediction in China using Monte Carlo simulation and quantile regression forests
Y Liu, GBM Heuvelink, Z Bai, P He - Computers and Electronics in …, 2023 - Elsevier
Nitrogen use efficiency (NUE) plays an essential role in food security and environmental
sustainability. With the development of technology, NUE prediction by models has come …
sustainability. With the development of technology, NUE prediction by models has come …