A PRODUCTION MODEL FOR LAND APPLICATION OF WASTEWATER

1979 ◽  
pp. 491-500
Author(s):  
Dwight C. Schroeder
Keyword(s):  
Land Application ◽  
Production Model

A case study on year round fodder production scheme for smallholder dairy producers in Bangladesh

2020 ◽  
Vol 26 (1-2) ◽  
pp. 79-102
Author(s):  
NR Sarker ◽  
F Tabassum D Yeasmin ◽  
MA Habib ◽  
MR Amin
Keyword(s):  
Dairy Cows ◽  
Family Income ◽  
Live Weight ◽  
Production Model ◽  
Variable Cost ◽  
Small Scale ◽  
Common Salt ◽  
Cost Ratio ◽  
Her Family ◽  
Fodder Production

This study was undertaken to develop a year round fodder production model for small scale dairy farmers. Five pregnant dairy cows of Red Chittagong Cattle (RCC) genotype were selected. For rearing five cows, 66 decimal of land was selected from existing fodder plots under Pachutia Research Farm at Bangladesh Livestock Research Institute (BLRI), Savar, Dhaka. The selected land was divided into two parts (33 decimal in each). One part was brought under perennial (Napier-4 and Splendida) and the 2nd part of land for seasonal (Maize & Matikalai) fodder production. Data on live weight and live weight gain of cows, birth weight of calves, feed intake, milk production, actual biomass yield for both perennial and seasonal fodder, yearly manure production were recorded and calculated. Napier-4 grass, splendida, maize, straw, silage were supplied to the experimental cows according to the seasonal availability in different months. Concentrate mixture were also supplied consisting of wheat bran, kheshari (red gram), soybean meal, maize crushed, til oil cake, DCP and common salt. Economics of the model revealed that considering the sale of milk, calves and manure and cost included only feed and land leased, a farm/family rearing 5 indigenous dairy cows with his/her family labours, he/she could earn around BDT 98 thousand in a year (1$ = 85 BDT) and the benefit cost ratio of the model on total variable cost and total cost were 1.86 and 1.66, respectively. Therefore, it may be recommended that a farmer having 5 adult dairy cows with 66 decimal land under fodder cultivation may earn substantial share of his/her family income as small-scale rural dairying. Bang. J. Livs. Res. Vol. 26 (1&2), 2019: P. 89-102

Urban pollution control strategy: SBR technology to treat agricultural waste from pig farm in Indonesia

2019 ◽  
Vol 2 (2) ◽  
pp. 21
Author(s):  
Lindawati Lindawati
Keyword(s):  
Cost Estimation ◽  
Batch Reactor ◽  
Agricultural Waste ◽  
Cost Effective ◽  
Land Application ◽  
Pig Manure ◽  
Small Scale ◽  
Piggery Wastewater ◽  
Pig Farm ◽  
Number Of Customers

Reduction of food rations and shortages is one of the impacts of the increasing human population. Food sector industries then try to cope with the fast growing number of customers. Agribusiness sector gains its popularity in these recent years, including pig farm. The increase trend of animal farming industry is likely to bring increasing pollution problem unless effective treatment methods are used. The main problems related to the pig farm include odor nuisance and pig manure disposal. The existing land application of piggery wastewater is the traditional way to discharge the wastewater. This may yield in land and water contamination, due to the accumulation of unused nutrients by crop plant. A case study of a large commercial pig farm from Australia is proposed to apply in smaller scale in Indonesia. Operational strategies for the small-scale SBR (Sequencing Batch Reactor) treating piggery effluent were developed based on lab-scale experiments. Due to SBR characteristics, which are money-saving and space-saving, it is very suitable to be applied in urban area. An economic evaluation was made of various process options. The cost estimation showed that SBR is a cost effective process, allowing operational batches to be adjusted to reduce unnecessary aeration cost. A reduction in the aeration cost was achieved by shortening the batch time from 24-h to 8-h. A comparison of three different SBR options showed that smaller size reactors could be more flexible and cost effective when compared with the larger ones.

DECISION-MAKING ON INVESTMENT OF IT-INNOVATION BASED ON FUZZY EXPERT INFORMATION

2018 ◽  
pp. 103-111
Author(s):  
Olga Olegovna Eremenko ◽  
Lyubov Borisovna Aminul ◽  
Elena Vitalievna Chertina
Keyword(s):  
Decision Making ◽  
Individual Characteristics ◽  
Production Model ◽  
Investment Management ◽  
It Projects ◽  
Product Model ◽  
Project Cost ◽  
Reasoning System ◽  
Managerial Decisions ◽  
The Individual

The subject of the research is the process of making managerial decisions for innovative IT projects investing. The paper focuses on the new approach to decision making on investing innovative IT projects using expert survey in a fuzzy reasoning system. As input information, expert estimates of projects have been aggregated into six indicators having a linguistic description of the individual characteristics of the project type "high", "medium", and "low". The task of decision making investing has been formalized and the term-set of the output variable Des has been defined: to invest 50-75% of the project cost; to invest 20-50% of the project cost; to invest 10-20% of the project cost; to send the project for revision; to turn down investing project. The fuzzy product model of making investment management decisions has been developed; it adequately describes the process of investment management. The expediency of using constructed production model on a practical example is shown.

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