http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
papers presented at the 10th European Conference on Precision Agriculture, Volcani Center, Israel, 12-16 July 2015
European Conference on Precision Agriculture 2015 : Volcani Center, Israel)
Table of contents; Editorial; Section 1 -- Crop and soil proximal sensing; 3D soil moisture sensing and imaging; Potential of using portable x-ray fluorescence spectroscopy for rapid soil analysis; Long-term monitoring of soil organic carbon patterns in a perennial pastureland; Proximal nitrogen sensing by off-nadir and nadir measurements in winter wheat canopy; Operational characteristics of commercial crop canopy sensors for nitrogen application in maize; Characterization of winter wheat nitrogen status with vegetation indices under different availability of sulphur
Precision nitrogen management strategy for winter wheat in the North China Plain based on an active canopy sensorUnderstanding hand-held crop sensor measurements and winter wheat yield mapping; Combining active optical sensors, infrared thermometers and ultrasonic height sensors for proximal sensing in irrigated cotton; Improving estimation of rice yield potential using active canopy sensor Crop Circle ACS 430 in Northeast China; Using depth cameras for biomass estimation -- a multi-angle approach; Use of crop height and optical sensor readings to predict mid-season cotton biomass
NDVI measurements as a predictor of Miscanthus giganteus biomassSection 2 -- UAV, aerial and satellite sensing; Vegetation indices from unmanned aerial vehicles -- mounted sensors to monitor the development of maize (Zea mays L.) under different N rates; Estimation of above-ground dry matter and nitrogen uptake in catch crops using images acquired from an octocopter; A fully automatized processing chain for high-resolution multispectral image acquisition of crop parcels by UAV
Using an unmanned aerial vehicle to evaluate nitrogen variability and distance effect with an active crop canopy sensorField trial design using semi-automated conventional machinery and aerial drone imaging for outlier identification; Operational unmanned aerial vehicle assisted post-emergence herbicide patch spraying in maize: a field study; A fleet of aerial and ground robots: a scalable approach for autonomous site-specific herbicide application; Evaluating soil available nitrogen status with remote sensing; Remote estimation of gross primary productivity in maize and soybean
High resolution remote and proximal sensing to assess low and high yield areas in a wheat fieldYield prediction for precision territorial management in maize using spectral data; Section 3 -- Spatial variability and mapping; Precision agriculture in watermelons; Soil management determines sampling density/spatial dependence of dynamic soil properties; Yield mapping methods for manually harvested crops; A multivariate spatial clustering method for partitioning tree-based orchard data into homogenous zones
Includes bibliographical references and indexes.