Soybean yield prediction from UAV using multimodal data fusion and deep learning
Preharvest crop yield prediction is critical for grain policy making and food security. Early
estimation of yield at field or plot scale also contributes to high-throughput plant phenoty** …
estimation of yield at field or plot scale also contributes to high-throughput plant phenoty** …
[HTML][HTML] Mixing process-based and data-driven approaches in yield prediction
Yield prediction models can be divided between data-driven and process-based models
(crop growth models). The first category contains many different types of models with …
(crop growth models). The first category contains many different types of models with …
Combined spectral and spatial modeling of corn yield based on aerial images and crop surface models acquired with an unmanned aircraft system
J Geipel, J Link, W Claupein - Remote sensing, 2014 - mdpi.com
Precision Farming (PF) management strategies are commonly based on estimations of
within-field yield potential, often derived from remotely-sensed products, eg, Vegetation …
within-field yield potential, often derived from remotely-sensed products, eg, Vegetation …
The plant beneficial effects of Metarhizium species correlate with their association with roots
X Liao, TR O'Brien, W Fang, RJ St. Leger - Applied microbiology and …, 2014 - Springer
Metarhizium species have recently been found to be plant rhizosphere associates as well as
insect pathogens. Because of their abundance, rhizospheric Metarhizium could have …
insect pathogens. Because of their abundance, rhizospheric Metarhizium could have …
Modeling and testing of growth status for Chinese cabbage and white radish with UAV-based RGB imagery
Conventional crop-monitoring methods are time-consuming and labor-intensive,
necessitating new techniques to provide faster measurements and higher sampling …
necessitating new techniques to provide faster measurements and higher sampling …
Evaluation of RGB and multispectral unmanned aerial vehicle (UAV) imagery for high-throughput phenoty** and yield prediction in barley breeding
P Herzig, P Borrmann, U Knauer, HC Klück, D Kilias… - Remote Sensing, 2021 - mdpi.com
With advances in plant genomics, plant phenoty** has become a new bottleneck in plant
breeding and the need for reliable high-throughput plant phenoty** techniques has …
breeding and the need for reliable high-throughput plant phenoty** techniques has …
In-season estimation of rice grain yield using critical nitrogen dilution curve
Crop nitrogen (N) status during vegetative growth is an essential indicator of crop vigor and
predictor of subsequent grain yield. The concept of the critical nitrogen (Nc) dilution curve …
predictor of subsequent grain yield. The concept of the critical nitrogen (Nc) dilution curve …
The role of phenology in crop yield prediction: Comparison of ground-based phenology and remotely sensed phenology
Precise and timely crop yield predictions at large scales are crucial for safeguarding global
food security. A key factor in accurate yield forecasting is the integration of multi-source …
food security. A key factor in accurate yield forecasting is the integration of multi-source …
Importance of incorporating spatial and temporal variability of biomass yield and quality in bioenergy supply chain
Biofuels made from biomass and waste residues will largely contribute to United States'
2050 decarbonization goal in the aviation sector. While cellulosic biofuels have the potential …
2050 decarbonization goal in the aviation sector. While cellulosic biofuels have the potential …
Relationships between ear‐leaf nutrient concentrations at silking and corn biomass and grain yields at maturity
Ear‐leaf nutrient concentrations at silking correlated strongly with corn grain yield. Ear‐leaf
nutrient concentrations at silking correlated strongly with whole‐plant biomass. Ear‐leaf N …
nutrient concentrations at silking correlated strongly with whole‐plant biomass. Ear‐leaf N …