Seasonal crop yield forecast: Methods, applications, and accuracies

B Basso, L Liu - advances in agronomy, 2019 - Elsevier
The perfect knowledge of yield before harvest has been a wish puzzling human being since
the beginning of agriculture because seasonal forecast of crop yield plays a critical role in …

Field-scale crop yield prediction using multi-temporal WorldView-3 and PlanetScope satellite data and deep learning

V Sagan, M Maimaitijiang, S Bhadra… - ISPRS journal of …, 2021 - Elsevier
Agricultural management at field-scale is critical for improving yield to address global food
security, as providing enough food for the world's growing population has become a wicked …

Enhancing assessment of corn growth performance using unmanned aerial vehicles (UAVs) and deep learning

J Xiao, SA Suab, X Chen, CK Singh, D Singh… - Measurement, 2023 - Elsevier
The advancement of unmanned aerial vehicles (UAVs) offers precise and accurate spectral
and spatial information about crops and plays a pivotal role in precision agriculture. This …

Multispectral imaging and unmanned aerial systems for cotton plant phenotyping

R Xu, C Li, AH Paterson - PloS one, 2019 - journals.plos.org
This paper demonstrates the application of aerial multispectral images in cotton plant
phenotyping. Four phenotypic traits (plant height, canopy cover, vegetation index, and …

Relationship between MODIS derived NDVI and yield of cereals for selected European countries

E Panek, D Gozdowski - Agronomy, 2021 - mdpi.com
In this study, the relationships between normalized difference vegetation index (NDVI)
obtained based on MODIS satellite data and grain yield of all cereals, wheat and barley at a …

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 …

Temperature-driven developmental modulation of yield response to nitrogen in wheat and maize

VO Sadras, N Giordano, A Correndo… - Frontiers in …, 2022 - frontiersin.org
Nitrogen management is central to the economic and environmental dimensions of
agricultural sustainability. Yield response to nitrogen fertilisation results from multiple …

Development and testing of a UAV-based multi-sensor system for plant phenotyping and precision agriculture

R Xu, C Li, S Bernardes - Remote Sensing, 2021 - mdpi.com
Unmanned aerial vehicles have been used widely in plant phenotyping and precision
agriculture. Several critical challenges remain, however, such as the lack of cross-platform …

Workflow to establish time-specific zones in precision agriculture by spatiotemporal integration of plant and soil sensing data

E Scudiero, P Teatini, G Manoli, F Braga, TH Skaggs… - Agronomy, 2018 - mdpi.com
Management zones (MZs) are used in precision agriculture to diversify agronomic
management across a field. According to current common practices, MZs are often spatially …

Use of remotely sensed data to enhance estimation of aboveground biomass for the dry Afromontane forest in South-Central Ethiopia

H Taddese, Z Asrat, I Burud, T Gobakken, HO Ørka… - Remote Sensing, 2020 - mdpi.com
Periodic assessment of forest aboveground biomass (AGB) is essential to regulate the
impacts of the changing climate. However, AGB estimation using field-based sample survey …