[HTML][HTML] Computer vision in smart agriculture and precision farming: Techniques and applications

S Ghazal, A Munir, WS Qureshi - Artificial Intelligence in Agriculture, 2024 - Elsevier
The transformation of age-old farming practices through the integration of digitization and
automation has sparked a revolution in agriculture that is driven by cutting-edge computer …

A research road map for responsible use of agricultural nitrogen

M Udvardi, FE Below, MJ Castellano… - … in Sustainable Food …, 2021 - frontiersin.org
Nitrogen (N) is an essential but generally limiting nutrient for biological systems.
Development of the Haber-Bosch industrial process for ammonia synthesis helped to relieve …

Estimation of potato above-ground biomass based on unmanned aerial vehicle red-green-blue images with different texture features and crop height

Y Liu, H Feng, J Yue, X Jin, Z Li, G Yang - Frontiers in plant science, 2022 - frontiersin.org
Obtaining crop above-ground biomass (AGB) information quickly and accurately is
beneficial to farmland production management and the optimization of planting patterns …

A review of crop water stress assessment using remote sensing

U Ahmad, A Alvino, S Marino - Remote Sensing, 2021 - mdpi.com
Currently, the world is facing high competition and market risks in improving yield, crop
illness, and crop water stress. This could potentially be addressed by technological …

Using the plant height and canopy coverage to estimation maize aboveground biomass with UAV digital images

M Shu, Q Li, A Ghafoor, J Zhu, B Li, Y Ma - European Journal of Agronomy, 2023 - Elsevier
The rapid and efficient estimation of aboveground biomass (AGB) in maize proves
advantageous for growth assessment, grain quality and yield prediction, and timely field …

[HTML][HTML] Application of UAV multisensor data and ensemble approach for high-throughput estimation of maize phenotyping traits

M Shu, S Fei, B Zhang, X Yang, Y Guo, B Li… - Plant Phenomics, 2022 - spj.science.org
High-throughput estimation of phenotypic traits from UAV (unmanned aerial vehicle) images
is helpful to improve the screening efficiency of breeding maize. Accurately estimating …

[HTML][HTML] Airborne hyperspectral imaging of nitrogen deficiency on crop traits and yield of maize by machine learning and radiative transfer modeling

S Wang, K Guan, Z Wang, EA Ainsworth… - International Journal of …, 2021 - Elsevier
Nitrogen is an essential nutrient that directly affects plant photosynthesis, crop yield, and
biomass production for bioenergy crops, but excessive application of nitrogen fertilizers can …

Estimation of the nitrogen content of potato plants based on morphological parameters and visible light vegetation indices

Y Fan, H Feng, X Jin, J Yue, Y Liu, Z Li… - Frontiers in Plant …, 2022 - frontiersin.org
Plant nitrogen content (PNC) is an important indicator to characterize the nitrogen nutrition
status of crops, and quickly and efficiently obtaining the PNC information aids in fertilization …

Using an optimized texture index to monitor the nitrogen content of potato plants over multiple growth stages

Y Fan, H Feng, J Yue, X Jin, Y Liu, R Chen… - … and Electronics in …, 2023 - Elsevier
Plant nitrogen content (PNC) is vital for evaluating crop nitrogen nutrient status and for net
primary productivity. Therefore, rapid and accurate acquisition of crop PNC information can …

A spectral decomposition method for estimating the leaf nitrogen status of maize by UAV-based hyperspectral imaging

S Meiyan, Z Jinyu, Y Xiaohong, G Xiaohe… - … and Electronics in …, 2023 - Elsevier
Leaf nitrogen status plays a crucial role in characterizing maize nutrient activity, which
ultimately affects both the photosynthetic efficiency and yield formation of maize. For this …