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Chattopadhyay N.,Agricultural Meteorology Division | Vyas S.S.,Agricultural Meteorology Division | Bhattacharya B.K.,Space Applications Center | Chandras S.,Agricultural Meteorology Division
Journal of Agrometeorology | Year: 2016

Satellite remote sensing technology is increasingly gaining recognition as an important source of operational agro meteorological services. Spatial daily rainfall product from geostationary satellite is one of the important data source for quick evaluation of suitability of sowing conditions and other economically relevant agricultural operations (irrigation, fertilizer applications, spraying etc.) by farmers as well as disaster (drought, flood) warning causing crop loss and also to derive weather derivatives for crop insurance. In view of that a study was taken up to explore the use of satellite based rainfall data at different temporal scales. Under the present study, comparison has been made between Kalpana-1 high resolution (0.25° x 0.25°) rainfall estimates for four south-west monsoon months (June-September) in two contrasting monsoon periods of 2008 (normal) and 2009 (drought) with in situ measurements and forecast (1° x 1°) at nine AMFUs (Agro-Meteorological Field Units) in different agro climatic zones. Initial analysis show less correlation and large root mean square error (RMSE) of Kalpana-1 daily rainfall estimates with measurements and forecast. However, correlation was found to increase significantly from 60 to 80% over weekly to fortnightly scale with concomitant decrease in RMSE. © 2016, Association of Agrometeorologists. All rights reserved.


Ghosh K.,Agricultural Meteorology Division | Balasubramanian R.,Agricultural Meteorology Division | Bandopadhyay S.,Regional Meteorological Center | Chattopadhyay N.,Mausam Bhavan | And 2 more authors.
Journal of Agrometeorology | Year: 2014

Crop yield forecasts are prepared at District, State and National level under the ongoing project “Forecasting Agricultural output using Space, Agrometeorology and Land based observations (FASAL)”, operational at Ministry of Agriculture, Govt. of India in collaboration with Space Application Centre (SAC), Institute of Economic Growth (IEG) and India Meteorological Department (IMD). As per the mandate of the project, crop yield forecasts are being generated for 13 major crops. Different models are used by these organizations for generation of crop yield forecasts. Under FASAL project, IMD in collaboration with 46 Agromet Field units (AMFU) located at different State Agricultural Universities (SAUs), ICAR institutes, IITs, develops intra-seasonal operational yield forecast for the major crops during kharif and rabi seasons using statistical model. Within IMD, in addition to the Agricultural Meteorology Division, all the Regional Meteorological Centres (RMCs) and Meteorological Centres (MCs), located in different states are also working in this project. Long period crop yield data as well as weekly weather data as per meteorological standard week have been used for development of the district level yield forecast models. For developing the yield forecast, models using composite weather variables have been studied. Simple and weighted weather indices have been prepared for individual weather variables as well as for interaction of two at a time considering throughout the crop growing season. Minimum data set required to develop the statistical model have also been mentioned in this paper. In order to demonstrate the data requirement, methodology for crop yield forecast through regression technique along with the interpretations, the relevant data of West Bengal have been taken up. National level crop yield forecast is prepared by the Mahalanabis National Crop Forecasting Centre (MNCFC) based on the state level forecast generated in IMD. © 2014 Association of Agrometeorologists. All rights reserved.


Sabale J.P.,Agricultural Meteorology Division | Das C.,Agricultural Meteorology Division | Samui R.P.,Agricultural Meteorology Division
Journal of Agrometeorology | Year: 2010

In the present study, data of green leaf hopper for two species, namely, Nephotettix nigropictus (Nn) and Nephotettix virescens (Nv) have been used. First peak was observed for both the species during 38th to 41st standard meteorological week, the second peak was observed during 45th std. week and the third peak was observed during 52nd to 2nd std. week (i. e. from last week of December to 2nd week of January of the succeeding year) for all study years. Overall, around six overlapping generations of green leaf hopper appeared from March to November and were found most active during tillering to panicle initiation stages of the crop. The correlation studies between light trap net sweep collection with weather parameters on population build-up showed that lower minimum temperature, low rainfall and abundant sunshine had major impact on population build up of green leaf hopper for both the species.


Rajavel M.,Agricultural Meteorology Division | Samui R.P.,Agricultural Meteorology Division | Rathore L.S.,Agricultural Meteorology Division | Balasubramanian R.,Agricultural Meteorology Division | And 2 more authors.
Journal of Agrometeorology | Year: 2010

A field experiment was conducted during rabi 2003 to study the effect of elevated levels of CO2 and PAR on intercellular CO2 concentration (Ci), net photosynthetic rate and their interrelationship in maize and safflower at different growth stages. The highest concentration of intercellular CO2 was recorded at 1200 and 1400 hrs and lowest concentration of intercellular CO2 was found during early hours in the morning (08 00 hours) irrespective of levels of CO2 and PAR at all the stages of maize and sunflower. The higher rate of net photosynthetic rate was observed in active vegetative stage (11.7 to 49.1 μmol CO2 cm-2 sec-1) compared to knee high and flowering stages of maize and during late vegetative stage (21.6 to 47.2 μmol CO2 cm-2 sec-1) in safflower compared to early vegetative and flowering stage. The optimum levels of CO2 and PAR for maize were 650μmol CO2 mol-1 and 960 μmol m -2 s-1 respectively and for safflower were 650μmol CO2 mol-1 and 1100 μmol m-2 s-1 respectively. A combination of 650 μmol CO2 mol-1 and 960 μmol m-2 s-1 of PAR for maize and 650 μmol CO2 mol-1 and 1100 μmol m-2 s-1 of PAR for safflower were found optimum levels. A positive correlation between the intercellular CO2 concentration and net photosynthetic rate in maize and safflower was found throughout the crop growth period.


Kamble M.V.,Agricultural Meteorology Division | Ghosh K.,Agricultural Meteorology Division | Rajeevan M.,Indian Space Research Organization | Samui R.P.,Agricultural Meteorology Division
Mausam | Year: 2010

Normalized Difference Vegetation Index (NDVI) is a simple index to monitor the state of vegetation (stressed/unstressed) which can be derived from satellite data. Hence an attempt is made to find out the vegetation responses to rainfall through NDVI over the study area. Applicability of NDVI in drought monitoring is discussed using the NDVI and rainfall data for the period 1982-2003. The anomaly of NDVI is compared with the percentage departure of rainfall of corresponding years. Results showed a significant relation between the NDVI with the percentage departure of rainfall. The time series plots of averaged NDVI and seasonal rainfall (June-September) are done for NW India (21° N - 31° N, 68° E - 78° E), Central India (22° N - 27° N, 70° E - 77° E) and Peninsular India (16° N - 21° N, 74° E - 79° E) over the period 1982-2003 to analyze changes in vegetation pattern of India during the last two decades. Results indicated a clear linear relationship over NW and Central India. NDVI anomalies and the corresponding cumulative rainfall showed significantly linear correlation of 0.69 over NW India and 0.57 over Central India significant at 1% level but the correlation is found to be insignificant over Peninsular India which was only 0.04. Trend analysis of averaged NDVI over India showed that during last two decades the vegetation status had quite improved over the dry farming tracts of India.


Ghosh K.,Agricultural Meteorology Division | Rajavel M.,Agricultural Meteorology Division | Samui R.P.,Agricultural Meteorology Division | Singh G.P.,Agricultural Meteorology Division | Karmakar C.,Agricultural Meteorology Division
Mausam | Year: 2014

A study on pest population of American boll worm (Heliothis armigera H.) in cotton crop as influenced by weather parameters like rainfall (RF), maximum temperature (Tmax), minimum temperature (Tmin), morning relative humidity (RH I), evening relative humidity (RH II) and bright sunshine hours (BSS) and its statistical correlation was undertaken with data recorded at Dr. Punjabrao Deshmukh Krishi Vidhyapeeth, Akola. The maximum activity and damage due to high population of Heliothis was observed during 35th to 50th standard weeks. Maximum temperature (40th week) and minimum temperature (37th week), morning and evening relative humidity during 38th week play an important role in pest infestation during 40th standard week. Flowering to boll formation stages of the crop suffered heavy incidence of Heliothis. Critical weather parameters causing the outbreak of Heliothis in Akola was maximum temperature around 32 °C and minimum temperature around 23 °C, morning relative humidity below 88%, evening relative humidity below 60% and hours of bright sunshine above 6.5 hrs/day.

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