Seasonal crop yield forecast: Methods, applications, and accuracies
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 …
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 …
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
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 …
and spatial information about crops and plays a pivotal role in precision agriculture. This …
Multispectral imaging and unmanned aerial systems for cotton plant phenotyping
This paper demonstrates the application of aerial multispectral images in cotton plant
phenotyping. Four phenotypic traits (plant height, canopy cover, vegetation index, and …
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 …
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
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 …
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 …
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
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 …
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
Management zones (MZs) are used in precision agriculture to diversify agronomic
management across a field. According to current common practices, MZs are often spatially …
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
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 …
impacts of the changing climate. However, AGB estimation using field-based sample survey …