Metadata-Version: 1.1
Name: opencroplib
Version: 0.1.4
Summary: Python Library for simulating physiological processes in plants
Home-page: https://github.com/OpenAgriTech/opencroplib
Author: Jose A. Jimenez-Berni
Author-email: berni@ias.csic.es
License: LICENSE.txt
Description: OpenCropLib
        ==============
        
        Python Library for simulating physiological processes in plants.
        The aim of this project is to implement the energy balance model
        developed in Berni et al. 2009 that allows to estimate canopy conductance
        from a combination of canopy temperature and basic micro-metheorological
        observations.
        
        The different components of the model can also be used in the simulation and
        estimation of physical processes such as aerodynamic modeling, calculation
        of solar radiation, etc.
        
        # Background
        Calculation of ETo and ETa
        
        # Installation
        
        ```pip install opencropib ```
        
        # Examples
        
        
        # Terms of use and citation
        This library is licensed under the MIT license.
        
            Copyright 2017 Jose A. Jimenez-Berni
        
            Licensed under the Apache License, Version 2.0 (the "License");
            you may not use this file except in compliance with the License.
            You may obtain a copy of the License at
        
                http://www.apache.org/licenses/LICENSE-2.0
        
            Unless required by applicable law or agreed to in writing, software
            distributed under the License is distributed on an "AS IS" BASIS,
            WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
            See the License for the specific language governing permissions and
            limitations under the License.
        
        # References
        Allen, R. G., Pereira, L. S., Raes, D., and Smith, M. (1998). Crop evapotranspiration: guidelines for computing crop 
        water requirements. Roma: Food and Agriculture Organization of the United Nations Available at: 
        https://appgeodb.nancy.inra.fr/biljou/pdf/Allen_FAO1998.pdf.
        
        Berni, J. A. J., Zarco-Tejada, P. J., Sepulcre-Cantó, G., Fereres, E., and Villalobos, F. (2009). Mapping canopy 
        conductance and CWSI in olive orchards using high resolution thermal remote sensing imagery. Remote Sens. Environ. 113, 
        2380–2388. doi:10.1016/j.rse.2009.06.018.
        
        https://github.com/woodcrafty/PyETo
        
        
        
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Atmospheric Science
