Crop production in changing environment especially under rainfed ecosystem is very difficult. One such important varying environmental factor is rainfall which affects plant growth most vitally and directly. India with its large population predominantly depends on rainfed agriculture, need timely and adequate rainfall for successful crop raising. The study on the temporal and special variations would help to design a viable cropping pattern for a specific location. In this context, monthly rainfall may be useful for planning a viable cropping pattern and related component technologies. An attempt was made to analyse therainfall data of Dharmapuri District,( lies between 11° 45’and 13° 01’ N latitudes and 77° 13’ and 78° 45’ E longitudes wit...
The Indian economy largely depends on agriculture which is highly influenced by the spatio-temporal ...
Agricultural activities are integrated with climatic conditions and elements such as temperature, hu...
In this work the prediction of rain is based on average of two methods. In these methods, historical...
Crop production in changing environment especially under rainfed ecosystem is very difficult. One su...
Daily rainfall data of 38 years (1971-2008) was analysed to estimate the long term averages of weekl...
Annual, seasonal and intra-seasonal variations in rainfall affect crop production from land preparat...
Not AvailableThe present study was carried out for analyzing the rainfall under changing climatic s...
Trend and climate change were studied in annual rainfall data for the period of 62 years (1949-2010)...
Not AvailableThe yearly rainfall pattern over 72 years (1916-87) shown in Figure 1. does not have an...
Uncertainty and variability of rains both space and time is the major constraints affecting agricult...
1560-1565Thirty two years (1982-2013) daily rainfall data for Dharmapuri District was collected from...
Agricultural activities are integrated with climatic conditions and elements such as temperature, hu...
Dryland agriculture in India is practiced on 97 million ha of the cultivated area that supports 40% ...
Peninsular India is located in the tropics; its climate ranges from arid conditions in the rain shad...
Mann–Kendall non-parametric test was employed for observational trend detection of monthly, seasonal...
The Indian economy largely depends on agriculture which is highly influenced by the spatio-temporal ...
Agricultural activities are integrated with climatic conditions and elements such as temperature, hu...
In this work the prediction of rain is based on average of two methods. In these methods, historical...
Crop production in changing environment especially under rainfed ecosystem is very difficult. One su...
Daily rainfall data of 38 years (1971-2008) was analysed to estimate the long term averages of weekl...
Annual, seasonal and intra-seasonal variations in rainfall affect crop production from land preparat...
Not AvailableThe present study was carried out for analyzing the rainfall under changing climatic s...
Trend and climate change were studied in annual rainfall data for the period of 62 years (1949-2010)...
Not AvailableThe yearly rainfall pattern over 72 years (1916-87) shown in Figure 1. does not have an...
Uncertainty and variability of rains both space and time is the major constraints affecting agricult...
1560-1565Thirty two years (1982-2013) daily rainfall data for Dharmapuri District was collected from...
Agricultural activities are integrated with climatic conditions and elements such as temperature, hu...
Dryland agriculture in India is practiced on 97 million ha of the cultivated area that supports 40% ...
Peninsular India is located in the tropics; its climate ranges from arid conditions in the rain shad...
Mann–Kendall non-parametric test was employed for observational trend detection of monthly, seasonal...
The Indian economy largely depends on agriculture which is highly influenced by the spatio-temporal ...
Agricultural activities are integrated with climatic conditions and elements such as temperature, hu...
In this work the prediction of rain is based on average of two methods. In these methods, historical...