RICE (KHARIF) PRODUCTION ESTIMATION USING SAR DATA OF DIFFERENT SATELLITES AND YIELD MODELS: A COMPARATIVE ANALYSIS OF THE ESTIMATES GENERATED UNDER FASAL PROJECT [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019 Rice is the most important food crop of India. Majority of Rice is sown in kharif season in the country. This is monsoon season for the country where cloud cover poses a major problem for optical remote sensing.
V. Jain +6 more
doaj +1 more source
Random Scenario Forecasts Versus Stochastic Forecasts [PDF]
International Statistical Review, 2004 Summary Probabilistic population forecasts are useful because they describe uncertainty in a quantitatively useful way. One approach (that we call LT) uses historical data to estimate stochastic models (e.g., a time series model) of vital rates, and then makes forecasts.
Tuljapurkar, Shripad +2 more
openaire +4 more sources
DETECTION OF BACTERIAL WILT DISEASE (PSEUDOMONAS SOLANCEARUM) IN BRINJAL USING HYPERSPECTRAL REMOTE SENSING [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019 Bacterial wilt disease (pathogen: Pseudomonas solancearum) is a major problem affecting brinjal crop. Infected leaves show yellowing, loss in turgidity, drying and ultimately the entire plant collapses.
A. Srivastava +6 more
doaj +1 more source
COMPARISON OF DIFFERENT CLASSIFICATION TECHNIQUES TO IDENTIFY COCONUT GROWING AREAS IN KOZIKHODE DISTRICT, KERALA [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019 This study was envisaged to map the coconut growing areas in Kerala state of India, using multidate NDVI obtained from sentinel 2A MSI data, having spatial resolution as 10 m. 95% Cloud free satellite images were taken for classification and date of pass
N. Singh +4 more
doaj +1 more source
Forecast Combination Under Heavy-Tailed Errors [PDF]
, 2015 Forecast combination has been proven to be a very important technique to obtain accurate predictions. In many applications, forecast errors exhibit heavy tail behaviors for various reasons.
Cheng, Gang, Wang, Sicong, Yang, Yuhong
core +3 more sources
Forecasting Profitability [PDF]
SSRN Electronic Journal, 2013 We use newly-available Indian panel data to estimate how the returns to planting-stage investments vary by rainfall realizations. We show that the forecasts significantly affect farmer investment decisions and that these responses account for a substantial fraction of the inter-annual variability in planting-stage investments, that the skill of the ...
Mark Rosenzweig, Christopher R. Udry
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MONITORING OF RICE CROP IN PUNJAB AND HARYANA WITH RESPECT TO RESIDUE BURNING [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019 This study is based on the fortnightly monitoring of residue burning in fields of kharif rice crops after harvesting in Punjab and Haryana. The kharif rice area (2018–19) was derived using multi-date Sentinel-1A(Microwave SAR) data under FASAL ...
P. Kumar +5 more
doaj +1 more source
COMPARISON OF AGRICULTURAL SITUATION OF INDIA FOR TWO YEARS (2017 AND 2018) USING VARIOUS DROUGHT ASSESSMENT INDICATORS DURING SOUTH WEST MONSOON SEASON IN INDIA [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019 Agricultural drought is concerned with the soil moisture deficiency in relation to meteorological droughts and climatic factors and their impacts on agricultural production and economic profitability.
S. Saxena +5 more
doaj +1 more source
FFORMA: Feature-based forecast model averaging
International Journal of Forecasting, 2020 We propose an automated method for obtaining weighted forecast combinations using time series features. The proposed approach involves two phases. First, we use a collection of time series to train a meta-model for assigning weights to various possible ...
Pablo Montero-Manso +3 more
semanticscholar +1 more source
ANALYSIS OF REMOTE SENSING-BASED ASSESSMENT OF POTATO STATISTICS AND ITS COMPARISON WITH GOVERNMENT ESTIMATES [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019 Potato (Solanum tuberosum L.) is a major horticultural crop of India. In the present study an effort has been made to evaluate the forecast (area, production and productivity) of potato being carried out under FASAL/CHAMAN project of DAC&FW. For this
P. Kumar +5 more
doaj +1 more source