Proximal optical sensors for nitrogen management of vegetable crops: A review

FM Padilla, M Gallardo, MT Peña-Fleitas, R De Souza… - Sensors, 2018 - mdpi.com
Optimal nitrogen (N) management is essential for profitable vegetable crop production and
to minimize N losses to the environment that are a consequence of an excessive N supply …

Crop reflectance monitoring as a tool for water stress detection in greenhouses: A review

N Katsoulas, A Elvanidi, KP Ferentinos, M Kacira… - Biosystems …, 2016 - Elsevier
Highlights•Challenges detecting water status in greenhouses by remote sensing
presented.•Sensors available for reflectance sensing and applications are …

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 …

High-resolution mangrove forests classification with machine learning using worldview and UAV hyperspectral data

Y Jiang, L Zhang, M Yan, J Qi, T Fu, S Fan, B Chen - Remote Sensing, 2021 - mdpi.com
Mangrove forests, as important ecological and economic resources, have suffered a loss in
the area due to natural and human activities. Monitoring the distribution of and obtaining …

UAV-based hyperspectral and ensemble machine learning for predicting yield in winter wheat

Z Li, Z Chen, Q Cheng, F Duan, R Sui, X Huang, H Xu - Agronomy, 2022 - mdpi.com
Winter wheat is a widely-grown cereal crop worldwide. Using growth-stage information to
estimate winter wheat yields in a timely manner is essential for accurate crop management …

NDVI as a potential tool for predicting biomass, plant nitrogen content and growth in wheat genotypes subjected to different water and nitrogen conditions

L Cabrera-Bosquet, G Molero, A Stellacci… - Cereal Research …, 2011 - akjournals.com
The application of spectroradiometric index such as the normalized difference vegetation
index (NDVI) to assess green biomass or nitrogen (N) content has focused on the plant …

Combining vegetation, color, and texture indices with hyperspectral parameters using machine-learning methods to estimate nitrogen concentration in rice stems and …

D Wang, R Li, T Liu, S Liu, C Sun, W Guo - Field Crops Research, 2023 - Elsevier
Context or problem Nitrogen is one of the important elements of crops, which plays a
decisive role in crop growth and development and the formation of yields. Monitoring of rice …

Improved remote sensing of leaf nitrogen concentration in winter wheat using multi-angular hyperspectral data

L He, X Song, W Feng, BB Guo, YS Zhang… - Remote Sensing of …, 2016 - Elsevier
Real-time, nondestructive monitoring of crop nitrogen (N) status is important for precise N
management in winter wheat production. Nadir viewing passive multispectral sensors have …

A comparison of crop data measured by two commercial sensors for variable-rate nitrogen application

N Tremblay, Z Wang, BL Ma, C Belec, P Vigneault - Precision Agriculture, 2009 - Springer
Nitrogen (N) fertilizer rates applied spatially according to crop requirements can improve the
efficiency of N use. The study compares the performance of two commercial sensors, the …

Evaluation of optical sensor measurements of canopy reflectance and of leaf flavonols and chlorophyll contents to assess crop nitrogen status of muskmelon

FM Padilla, MT Peña-Fleitas, M Gallardo… - European journal of …, 2014 - Elsevier
Nitrogen losses from intensive vegetal production systems are commonly associated with
contamination of water bodies. Sustainable and optimal economic N management requires …