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 …

A systematic review of IoT solutions for smart farming

E Navarro, N Costa, A Pereira - Sensors, 2020 - mdpi.com
The world population growth is increasing the demand for food production. Furthermore, the
reduction of the workforce in rural areas and the increase in production costs are challenges …

[HTML][HTML] Assimilation of remote sensing into crop growth models: Current status and perspectives

J Huang, JL Gómez-Dans, H Huang, H Ma… - Agricultural and forest …, 2019 - Elsevier
Timely monitoring of crop lands is important in order to make agricultural activities more
sustainable, as well as ensuring food security. The use of Earth Observation (EO) data …

High-throughput estimation of crop traits: A review of ground and aerial phenotyping platforms

X Jin, PJ Zarco-Tejada, U Schmidhalter… - … and Remote Sensing …, 2020 - ieeexplore.ieee.org
Crop yields need to be improved in a sustainable manner to meet the expected worldwide
increase in population over the coming decades as well as the effects of anticipated climate …

Contribution of remote sensing on crop models: a review

DA Kasampalis, TK Alexandridis, C Deva… - Journal of …, 2018 - mdpi.com
Crop growth models simulate the relationship between plants and the environment to predict
the expected yield for applications such as crop management and agronomic decision …

Crop yield prediction in cotton for regional level using random forest approach

NR Prasad, NR Patel, A Danodia - spatial information research, 2021 - Springer
Early and precise estimation of crop yield plays a crucial role in quantitative and financial
assessment at field level, to lay down strategic plans for import–export policies for …

Machine learning-based in-season nitrogen status diagnosis and side-dress nitrogen recommendation for corn

X Wang, Y Miao, R Dong, H Zha, T Xia, 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 …

Analysis of relationship between cereal yield and NDVI for selected regions of Central Europe based on MODIS satellite data

E Panek, D Gozdowski - Remote Sensing Applications: Society and …, 2020 - Elsevier
Earth observation satellite technologies allow the status of crops to be assessed at various
geographical scales. The most popular vegetation index for analyzing this status is the …

Can yield prediction be fully digitilized? A systematic review

N Darra, E Anastasiou, O Kriezi, E Lazarou, D Kalivas… - Agronomy, 2023 - mdpi.com
Going beyond previous work, this paper presents a systematic literature review that explores
the deployment of satellites, drones, and ground-based sensors for yield prediction in …

Estimation of maize yield by assimilating biomass and canopy cover derived from hyperspectral data into the AquaCrop model

X Jin, Z Li, H Feng, Z Ren, S Li - Agricultural Water Management, 2020 - Elsevier
The accurate and timely estimation of temporal and spatial changes in crop growth and yield
before harvesting is essential for ensuring global food security. The integration of remote …