Remote sensing for agricultural applications: A meta-review

M Weiss, F Jacob, G Duveiller - Remote sensing of environment, 2020 - Elsevier
Agriculture provides humanity with food, fibers, fuel, and raw materials that are paramount
for human livelihood. Today, this role must be satisfied within a context of environmental …

High-resolution satellite imagery applications in crop phenoty**: An overview

C Zhang, A Marzougui, S Sankaran - Computers and Electronics in …, 2020 - Elsevier
Over the past ten years, plant phenoty** technologies that utilize sensing and data mining
approaches to estimate crop traits in a high-throughput and objective manner, have been …

[HTML][HTML] Comparison of satellite and UAV-based multispectral imagery for vineyard variability assessment

A Khaliq, L Comba, A Biglia, D Ricauda Aimonino… - Remote Sensing, 2019 - mdpi.com
In agriculture, remotely sensed data play a crucial role in providing valuable information on
crop and soil status to perform effective management. Several spectral indices have proven …

[HTML][HTML] Delineation of management zones in agricultural fields using cover–crop biomass estimates from PlanetScope data

FM Breunig, LS Galvão, R Dalagnol, CE Dauve… - International Journal of …, 2020 - Elsevier
Several methods have been proposed to delineate management zones in agricultural fields,
which can guide interventions of the farmers to increase crop yield. In this study, we propose …

Improving the accuracy of satellite-based high-resolution yield estimation: A test of multiple scalable approaches

Z **, G Azzari, DB Lobell - Agricultural and forest meteorology, 2017 - Elsevier
Fast, accurate and inexpensive estimates of crop yields at the field scale are useful for many
applications. Based on the Google Earth Engine (GEE) platform, we recently developed a …

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 …

[HTML][HTML] Land use interacts with changes in catchment hydrology to generate chronic nitrate pollution in karst waters and strong seasonality in excess nitrate export

FJ Yue, S Waldron, SL Li, ZJ Wang, J Zeng, S Xu… - Science of the Total …, 2019 - Elsevier
Agricultural land in karst systems can pollute water courses, with polluted waters travelling
quickly to and through the sub-surface. Understanding how rapidly nitrate moves within the …

Improving maize growth processes in the community land model: Implementation and evaluation

B Peng, K Guan, M Chen, DM Lawrence… - Agricultural and forest …, 2018 - Elsevier
Earth system models (ESMs) are essential tools to study the impacts of historical and future
climate on regional and global food production, as well as to assess the effectiveness of …

[HTML][HTML] Deep learning for soil and crop segmentation from remotely sensed data

J Dyson, A Mancini, E Frontoni, P Zingaretti - Remote Sensing, 2019 - mdpi.com
One of the most challenging problems in precision agriculture is to correctly identify and
separate crops from the soil. Current precision farming algorithms based on artificially …

Detecting in-season crop nitrogen stress of corn for field trials using UAV-and CubeSat-based multispectral sensing

Y Cai, K Guan, E Nafziger, G Chowdhary… - IEEE Journal of …, 2019 - ieeexplore.ieee.org
Nitrogen (N) fertilizer management is one of the main concerns for precision agriculture
under corn production, which aims to not only maximize the profits, but also ensure …