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 …

Conventional and molecular techniques from simple breeding to speed breeding in crop plants: recent advances and future outlook

S Ahmar, RA Gill, KH Jung, A Faheem… - International journal of …, 2020 - mdpi.com
In most crop breeding programs, the rate of yield increment is insufficient to cope with the
increased food demand caused by a rapidly expanding global population. In plant breeding …

A review of computer vision technologies for plant phenotyping

Z Li, R Guo, M Li, Y Chen, G Li - Computers and Electronics in Agriculture, 2020 - Elsevier
Plant phenotype plays an important role in genetics, botany, and agronomy, while the
currently popular methods for phenotypic trait measurement have some limitations in …

Demand priority of green space from the perspective of carbon emissions and storage

L Xu, K Fang, Y Huang, S Xu - Sustainability, 2023 - mdpi.com
During the process of rapid urban expansion, there has been a growing interest in
understanding the spatial requirements of green spaces. However, limited research has …

Automatic identification and monitoring of plant diseases using unmanned aerial vehicles: A review

K Neupane, F Baysal-Gurel - Remote Sensing, 2021 - mdpi.com
Disease diagnosis is one of the major tasks for increasing food production in agriculture.
Although precision agriculture (PA) takes less time and provides a more precise application …

Translating high-throughput phenotyping into genetic gain

JL Araus, SC Kefauver, M Zaman-Allah, MS Olsen… - Trends in plant …, 2018 - cell.com
Inability to efficiently implement high-throughput field phenotyping is increasingly perceived
as a key component that limits genetic gain in breeding programs. Field phenotyping must …

Agricultural robotics for field operations

S Fountas, N Mylonas, I Malounas, E Rodias… - Sensors, 2020 - mdpi.com
Modern agriculture is related to a revolution that occurred in a large group of technologies
(eg, informatics, sensors, navigation) within the last decades. In crop production systems …

Machine learning for smart agriculture and precision farming: towards making the fields talk

TA Shaikh, WA Mir, T Rasool, S Sofi - Archives of Computational Methods …, 2022 - Springer
In almost every sector, data-driven business, the digitization of the data has generated a
data tsunami. In addition, man-to-machine digital data handling has magnified the …

Unmanned aerial vehicle remote sensing for field-based crop phenotyping: current status and perspectives

G Yang, J Liu, C Zhao, Z Li, Y Huang, H Yu… - Frontiers in plant …, 2017 - frontiersin.org
Phenotyping plays an important role in crop science research; the accurate and rapid
acquisition of phenotypic information of plants or cells in different environments is helpful for …

A rapid monitoring of NDVI across the wheat growth cycle for grain yield prediction using a multi-spectral UAV platform

MA Hassan, M Yang, A Rasheed, G Yang, M Reynolds… - Plant science, 2019 - Elsevier
Wheat improvement programs require rapid assessment of large numbers of individual plots
across multiple environments. Vegetation indices (VIs) that are mainly associated with yield …