This study was aimed at investigating profitability of selected coarse cereals production in major producing states of India through analyzing cost, return and profitability of coarse cereals cultivation. Cost concepts and farm business income measures used for analysis the data ranging from 1980-81 to 2011-12. Net return of coarse cereals cultivation was observed to be highest for maize and it was highest in Bihar (Rs. 15,429/ha) and lowest Uttar Pradesh (Rs. -4,006/ha). Net return from cultivation of sorghum was found to be highest in Andhra Pradesh (Rs. 952/ha) and lowest for Madhya Pradesh (Rs. -1,456/ha). For pearl millet net return was highest in Andhra Pradesh (Rs. 4,995/ha) and lowest for Karnataka (Rs. -1,252/ha) whereas cultivation of finger millet was observed to be at a loss.
The suitability of selected satellite vegetation indices for estimating the condition of cereals in Poland was investigated. The indices presented here were derived from the data stored in INFOSAT database, which was created at the Institute of Geodesy and Cartography. INFOSAT contains data from processed satellite images acquired by NOAA AVHRR scanner. The methods applied in the database generation and in the calculation of vegetation indices were analysed in view of their applicability to the inference on crops condition over a large area. Presented results of statistical analysis indicate significant relations between the production of cereals and indices based on NDVI. The suitability of selected satellite vegetation indices for estimating the condition of cereals in Poland was investigated. The indices presented here were derived from the data stored in INFOSAT database, which was created at the Institute of Geodesy and Cartography. INFOSAT contains data from processed satellite images acquired by NOAA AVHRR scanner. The methods applied in the database generation and in the calculation of vegetation indices were analysed in view of their applicability to the inference on crops condition over a large area. Presented results of statistical analysis indicate significant relations between the production of cereals and indices based on NDVI.
A study run in the years 20002002 aimed at determining the effect of the kind of redardant, application stage and rate on the yields and quality traits of winter wheat.