scholarly journals A Decision Support System for Sustainable Farming

1991 ◽  
Vol 20 (1) ◽  
pp. 109-113 ◽  
Author(s):  
John E. Ikerd
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Farming Systems ◽  
Environmental Concerns ◽  
Sustainable Farming ◽  
Sustainable Systems

U.S. farmers are faced with growing environmental concerns and rising costs associated with highly specialized farming operations. They are searching for farming systems that are both ecologically sound and economically viable. They are searching for sustainable systems of farming.

Incorporating environmental concerns into electric system expansion planning using a multi-criteria decision support system

1999 ◽  
Vol 12 (1/2/3/4/5/6) ◽  
pp. 60 ◽  
Author(s):  
Vladimir S. Koritarov ◽  
Guenter Conzelmann ◽  
Thomas D. Veselka ◽  
William A. Buehring ◽  
Richard R. Cirillo ◽  
...  
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Environmental Concerns ◽  
System Expansion ◽  
Electric System ◽  
Expansion Planning

The IBSNAT Project and Agricultural Experimentation in Developing Countries

1990 ◽  
Vol 26 (4) ◽  
pp. 369-380 ◽  
Author(s):  
S. R. Harrison ◽  
P. K. Thornton ◽  
J. B. Dent
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Field Experiments ◽  
Farming Systems ◽  
Data Sets ◽  
Crop Models ◽  
Field Experimentation ◽  
Crop Management Systems ◽  
The Tropics

SUMMARYThe International Benchmark Sites Network for Agrotechnology Transfer (IBSNAT) project has established an international network of co-operating farming systems researchers. A decision support system that includes a number of crop models and databases has been developed to assist in the evaluation of new agrotechnology packages in the tropics and sub-tropics. Standards have been established for the recording of ‘minumum data sets’ from field experiments to allow the crop models to be validated for specific sites. The decision support system, still under active development, has the potential to reduce substantially the time and cost of field experimentation necessary for adequate evaluation of new cultivars and new crop management systems.

A decision support system for predicting seasonal rainfall variations in sub-humid and semi-arid high country areas

1996 ◽  
pp. 87-91
Author(s):  
G.K. Hutchinson
Keyword(s):  
Risk Management ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Seasonal Pattern ◽  
Farming Systems ◽  
Seasonal Rainfall ◽  
Management Decision ◽  
Pasture Production ◽  
Semi Arid

The variable seasonal pattern of pasture production is dominantly influenced by rainfall in the semiarid and sub-humid high country regions. A decision support system for predicting seasonal rainfall has been developed and tested using the rainfall data from 14 sites in the semi-arid, sub-humid and humid high country zones. The prediction system improves the chances of making a correct or incorrect but conservative risk management decision from 50:50 to as much as 92:8 dependent on the site's weather characteristics and the length of rainfall records available. The system provides support for risk management decisions such as whether to employ the buffers of stocking rate adjustments and feed conservation measures usually present in most high country farming systems to cope with the variability in seasonal pasture growth. The method has particular applicability in the semi-arid and subhumid areas of the inland basins and foothills and the mid Waitaki area. Keywords: decision support, high country, rainfall, risk management, semi-arid, sub-humid

The IBSNAT Project and Agricultural Experimentation in Developing Countries

1990 ◽  
Vol 26 (4) ◽  
pp. 369-380 ◽  
Author(s):  
S. R. Harrison ◽  
P. K. Thornton ◽  
J. B. Dent
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Field Experiments ◽  
Farming Systems ◽  
Data Sets ◽  
Crop Models ◽  
Field Experimentation ◽  
Crop Management Systems ◽  
The Tropics

SUMMARYThe International Benchmark Sites Network for Agrotechnology Transfer (IBSNAT) project has established an international network of co-operating farming systems researchers. A decision support system that includes a number of crop models and databases has been developed to assist in the evaluation of new agrotechnology packages in the tropics and sub-tropics. Standards have been established for the recording of ‘minumum data sets’ from field experiments to allow the crop models to be validated for specific sites. The decision support system, still under active development, has the potential to reduce substantially the time and cost of field experimentation necessary for adequate evaluation of new cultivars and new crop management systems.

Decision Support System Development Based On Android Using Analytical Hierarchy Process (AHP) Method For Determining The Middle Small Business Development Priority In Sorong City

2019 ◽  
Vol 5 (2) ◽  
pp. 25-39
Author(s):  
Luluk Suryani ◽  
Raditya Faisal Waliulu ◽  
Ery Murniyasih
Keyword(s):  
Decision Support ◽  
Small Business ◽  
Decision Support System ◽  
Support System ◽  
Analytical Hierarchy Process ◽  
System Development ◽  
Business Development ◽  
Ahp Method ◽  
Small Business Development ◽  
Hierarchy Process

Usaha Kecil Menengah (UKM) adalah salah satu penggerak perekonomian suatu daerah, termasuk Kota Sorong. UKM di Kota Sorong belum berkembang secara optimal. Ada beberapa penyebab diantaranya adalah mengenai finansial, lokasi, bahan baku dan lain-lain. Untuk menyelesaikan permasalah tersebut peneliti terdorong untuk melakukan pengembangan Aplikasi yang dapat membantu menentukan prioritas UKM yang sesuai dengan kondisi pelaku usaha. Pada penelitian ini akan digunakan metode Analitycal Hierarchy Process (AHP), untuk pengambilan keputusannya. Metode AHP dipilih karena mampu menyeleksi dan menentukan alternatif terbaik dari sejumlah alternatif yang tersedia. Dalam hal ini alternatif yang dimaksudkan yaitu UKM terbaik yang dapat dipilih oleh pelaku usaha sesuai dengan kriteria yang telah ditentukan. Penelitian dilakukan dengan mencari nilai bobot untuk setiap atribut, kemudian dilakukan proses perankingan yang akan menentukan alternatif yang optimal, yaitu UKM. Aplikasi Sistem Pendukung Keputusan yang dikembangkan berbasis Android, dimana pengguna akan mudah menggunakannya sewaktu-waktu jika terjadi perubahan bobot pada kriteria atau intensitas.  Hasil akhir menunjukkan bahwa metode AHP berhasil diterapkan pada Aplikasi Penentuan Prioritas Pengembangan UKM.

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