[HTML][HTML] Assessment of RapidEye vegetation indices for estimation of leaf area index and biomass in corn and soybean crops
A Kross, H McNairn, D Lapen, M Sunohara… - International Journal of …, 2015 - Elsevier
Leaf area index (LAI) and biomass are important indicators of crop development and the
availability of this information during the growing season can support farmer decision …
availability of this information during the growing season can support farmer decision …
Associations among pathogenic bacteria, parasites, and environmental and land use factors in multiple mixed-use watersheds
Over a five year period (2004–08), 1171 surface water samples were collected from up to 24
sampling locations representing a wide range of stream orders, in a river basin in eastern …
sampling locations representing a wide range of stream orders, in a river basin in eastern …
Research on remote sensing classification of fruit trees based on Sentinel-2 multi-temporal imageries
XX Zhou, YY Li, YK Luo, YW Sun, YJ Su, CW Tan… - Scientific Reports, 2022 - nature.com
Accurately obtaining the spatial distribution information of fruit tree planting is of great
significance to the development of fruit tree growth monitoring, disease and pest control, and …
significance to the development of fruit tree growth monitoring, disease and pest control, and …
Untangling the effects of shallow groundwater and soil texture as drivers of subfield‐scale yield variability
Water table depth (WTD), soil texture, and growing season weather conditions all play
critical roles in determining agricultural yield; however, the interactions among these three …
critical roles in determining agricultural yield; however, the interactions among these three …
Testing remote sensing approaches for assessing yield variability among maize fields
AM Sibley, P Grassini, NE Thomas… - Agronomy …, 2014 - Wiley Online Library
For remote sensing to be useful for analyzing crop yield gaps, methods should be accurate
at the field scale without need for local ground calibration. We used an extensive field‐level …
at the field scale without need for local ground calibration. We used an extensive field‐level …
Mid-season high-resolution satellite imagery for forecasting site-specific corn yield
NR Peralta, Y Assefa, J Du, CJ Barden, IA Ciampitti - Remote Sensing, 2016 - mdpi.com
A timely and accurate crop yield forecast is crucial to make better decisions on crop
management, marketing, and storage by assessing ahead and implementing based on …
management, marketing, and storage by assessing ahead and implementing based on …
[图书][B] Agricultural automation: Fundamentals and practices
Q Zhang, FJ Pierce - 2013 - books.google.com
Agricultural automation is the core technology for computer-aided agricultural production
management and implementation. An integration of equipment, infotronics, and precision …
management and implementation. An integration of equipment, infotronics, and precision …
[HTML][HTML] Soybean seed composition prediction from standing crops using PlanetScope satellite imagery and machine learning
Soybean is a pivotal agricultural commodity around the world, primarily because of its high
seed protein and oil concentration. Therefore, farmers, breeders and end-users are highly …
seed protein and oil concentration. Therefore, farmers, breeders and end-users are highly …
Mapping within-field variability in wheat yield and biomass using remote sensing vegetation indices
I Campos, L González-Gómez, J Villodre, M Calera… - Precision …, 2019 - Springer
This paper explored the ability of remote sensing (RS) and meteorological data to map the
variability of yield/biomass in cultivated wheat (Triticum aestivum). The methodology …
variability of yield/biomass in cultivated wheat (Triticum aestivum). The methodology …
Image classification using rapideye data: Integration of spectral and textual features in a random forest classifier
Information on crop types derived from remotely sensed images provides valuable input for
many applications such as crop growth modeling and yield forecasting. In this paper, a …
many applications such as crop growth modeling and yield forecasting. In this paper, a …