Results 31 to 40 of about 402,690 (217)
Remote Sensing, 2021 Unmanned aerial vehicle (UAV) photogrammetry was used to monitor crop height in a flooded paddy field. Three multi-rotor UAVs were utilized to conduct flight missions in order to capture RGB (RedGreenBlue) and multispectral images, and these images were ...
Wenyi Lu +2 more
doaj +1 more source
The Polarimetric Sensitivity of SMAP-Reflectometry Signals to Crop Growth in the U.S. Corn Belt
Remote Sensing, 2020 Crop growth is an important parameter to monitor in order to obtain accurate remotely sensed estimates of soil moisture, as well as assessments of crop health, productivity, and quality commonly used in the agricultural industry. The Soil Moisture Active
Nereida Rodriguez-Alvarez +2 more
doaj +1 more source
Agriculture, 2021 Identification of yield deficits early in the growing season for cereal crops (e.g., Triticum aestivum) could help to identify more precise agronomic strategies for intervention to manage production.
Anna Florence +4 more
doaj +1 more source
A Prototype Sensor for Estimating Light Interception by Plants in a Greenhouse [PDF]
, 2008 Light interception is one of the most important factors for plant growth. The intercepted amount depends on the incoming radiation in the greenhouse and the percentage of interception by the crop and is directly related to the leaf area.
Gieling, T.H. +5 more
core +2 more sources
Image analysis and statistical modelling for measurement and quality assessment of ornamental horticulture crops in glasshouses [PDF]
, 2009 Image analysis for ornamental crops is discussed with examples from the bedding plant industry. Feed-forward artificial neural networks are used to segment top and side view images of three contrasting species of bedding plants.
Edmondson, R. N. +2 more
core +1 more source
Smart agriculture: Predictive height analysis for universal crop health classification
Contemporary Engineering Sciences, 2023 The use of contemporary information and communication technol- ogy to maximize agricultural output while reducing labor costs is known as ”smart agriculture”. This term is becoming more and more prevalent. The primary challenge in the agricultural sector lies in the vastness of crops, coupled with varied topography and soil instability, making con ...
Tsakiridis, Sotirios +4 more
openaire +2 more sources
Crop coefficients, growth rates and quality of cool-season turfgrasses [PDF]
, 2015 Determination of crop coefficients (Kc), the ratio between actual (ETa) and reference evapotranspiration (ET0), is necessary to schedule irrigation. Our objective was to determine Kc, turf quality and growth rate under daily irrigation to field capacity (
Allen +30 more
core +1 more source
Winter Wheat Crop Height Estimation Using Small Unmanned Aerial System (sUAS) [PDF]
Agricultural Sciences, 2020 Deploying the small Unmanned Aerial System (sUAS) for data collection of high-resolution images is a big potential in determining crop physiological parameters. The advantage of using sUAS technology is the ability to acquire a high-resolution orthophoto and a 3D Model which is highly suitable for plant height monitoring.
Marife Kung Villareal +2 more
openaire +1 more source
Crop Height Estimation with LiDAR Equipped Robots
, 2023 Estimating the height of crops is important from anenvironmental and economic point of view. For example,accurate and timely estimates of plant growth can be oftremendous help for high-throughput phenotyping [1]. Thisdata can be used for determining the genetic variety that isable to better withstand nutrient stress, diseases, and pests [1].However ...
openaire +1 more source
Precision Agriculture, 2022 Vegetation indices are used in precision agriculture to estimate crop aboveground biomass (AGB) and, in turn, to quantify crop needs. However, crop species and development stage affect vegetation indices limiting the setup of generalized models for AGB estimation.
Martina Corti +9 more
openaire +3 more sources