In India about 50 per cent of the population depends on agriculture, majority are small land holding farmers.As per world agriculture statistics (FAO, 2010). India is the world's largest producer of many fresh fruits and vegetables with a large and diverse agricultural sector in the world next to China. As of now, India ranks second worldwide in farm output. Agriculture with allied sectors contributed 13.7 per cent of the GDP during 2010-11 (CSO, 2011). This research paper aims to study the cost and returns of pandal vegetables cultivation in Coimbatore District. 120 farmers was interviewed from Anamalai and Madukkarai blocks of Coimbatore District. The total establishment cost for pandal was Rs.3.2 lakhs per hectare and the investment cost for drip irrigation was Rs.0.73 lakhs per hectare. Majority of the sample farmers had experience of 21-30 years in farming and most of the farmers had 6-10 years experience in pandal vegetables cultivation. The cost of production per quintal of bitter gourd, snake gourd and ribbed gourd was Rs.1103, Rs. 981 and 952.71, respectively.
A new philosophy and architecture of rapid mobile healthcare application development is presented here. Many monolith applications developed on the Lambda architecture had been successful earlier, but of late, this architecture is found inadequate when deployed for different stakeholders. Today's healthcare applications handle large volume of streaming data obtained from dispersed devices. The architecture is to support multiple use cases as the business models are evolving and the products have to be malleable enough to support different functions. This paper describes a working architecture on which mobile healthcare applications can be rapidly built through ingestion and processing of voluminous streaming data. The use of micro-services keeps this architecture flexible. On the client side, application platform as a service (APaaS) frameworks are employed to assist quick development and validation of solutions. Findings from some successfully deployed mobile healthcare applications based on this architecture are also discussed.
A new philosophy and architecture of rapid mobile healthcare application development is presented here. Many monolith applications developed on the Lambda architecture had been successful earlier, but of late, this architecture is found inadequate when deployed for different stakeholders. Today's healthcare applications handle large volume of streaming data obtained from dispersed devices. The architecture is to support multiple use cases as the business models are evolving and the products have to be malleable enough to support different functions. This paper describes a working architecture on which mobile healthcare applications can be rapidly built through ingestion and processing of voluminous streaming data. The use of micro-services keeps this architecture flexible. On the client side, application platform as a service (APaaS) frameworks are employed to assist quick development and validation of solutions. Findings from some successfully deployed mobile healthcare applications based on this architecture are also discussed.
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