Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Nisha Mendiratta"'
Publikováno v:
European Journal of Agronomy. 144:126760
Publikováno v:
Current Science. 115:17
Publikováno v:
Journal of Hydroinformatics. 12:502-520
An automated GIS tool and its computational outcomes on the spatial distribution of runoff and soil erosion are presented. The developed tool, named Automated Soil Erosion Assessment Tool (ASEAT), simulates runoff and soil erosion rates based on the
Autor:
L. S. Rathore, K Lakshmi Narayan, K. K. Singh, S. V. Singh, Nisha Mendiratta, G S L H V P Rao, S. A. Saseendran
Publikováno v:
Meteorological Applications. 5:385-392
The CERES-Rice version 3.0 crop growth simulation model was calibrated and evaluated for the agroclimatic conditions of the state of Kerala in India. Genetic coefficients were developed for the rice crop variety Jaya and used for the model evaluation
Optimum Transplanting Dates for Rice in Kerala, India, Determined Using Both CERES v3.0 and ClimProb
Autor:
Shyam V. Singh, Kamalesh K. Singh, Laxman S. Rathore, Saseendran A. Saseendran, Nisha Mendiratta, Kenneth G. Hubbard
Publikováno v:
Agronomy Journal. 90:185-190
Rice (Oryza sativa L.) is an important food crop for more than half the world's population. It grows best under shallow flooded conditions. For establishing a healthy rice stand in a flooded field, the seedlings of the crop are first grown in nurseri
Publikováno v:
Climate Change and Environmental Sustainability. 1:11
There is a need to delineate vulnerable regions and identify suitable adaptation and mitigation strategies to sustain agricultural productivity under global climate change and frequently occurring extreme climatic events. Agricultural productivity ca