Monitoring of Plant Pests and Diseases as a Base of the Germany-Wide Online Decision Support System ISIP

2007 ◽  
Vol 2 (S1) ◽  
pp. 50-51 ◽  
Author(s):  
C. von Kröcher ◽  
M. Röhrig
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Pests And Diseases ◽  
Plant Pests

An Integrated Decision Support System for Intercropping

2010 ◽  
Vol 2 (3) ◽  
pp. 51-66 ◽  
Author(s):  
A. S. Sodiya ◽  
A. T. Akinwale ◽  
K. A. Okeleye ◽  
J. A. Emmanuel
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Crop Production ◽  
Large Scale ◽  
Weather Condition ◽  
Agricultural Practice ◽  
Pests And Diseases ◽  
General Decline ◽  
Fertility Protection

Intercropping, which is the agricultural practice of growing two or more crops in the same land area, is not currently yielding adequate results in Africa. Despite the advantages of intercropping like improved soil fertility, protection against pests and diseases and eventual increase in farm yield, this farming practice is faced with challenges—inadequate planning, bad crop management and lack of required intercropping expertise. Consequently, this has resulted in inadequate reward for farmers and a general decline in crop production. In this regard, the authors present an Intelligent and Integrated Intercropping Decision Support System for Intercropping (IDSS-I) for improved crop production. The design adopts a forecasting component that provides farmers with the estimated yield and income depending on the size of land, soil type and weather condition. Although the implementation was carried out using JAVA and SQL, usability testing revealed 85% acceptance of the tool among the contacted 10 large scale farmers. It was also confirmed that the system provided 95% diagnosis information for 90% common Africa crop diseases.

Field validation of a decision support system for the control of pests and diseases in cereals in denmark

1995 ◽  
Vol 45 (2) ◽  
pp. 195-199 ◽  
Author(s):  
Bo J. M. Secher ◽  
Lise N. Jørgensen ◽  
N. S. Murali ◽  
Peter S. Boll
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Field Validation ◽  
Pests And Diseases

scholarly journals Information Tecnology Based Decision Support System for Integrated Pest Management on Rice

2021 ◽  
Vol 40 (1) ◽  
pp. 9
Author(s):  
I Nyoman Widiarta
Keyword(s):  
Information Technology ◽  
Decision Support ◽  
Decision Support System ◽  
Integrated Pest Management ◽  
Pest Management ◽  
Support System ◽  
Rice Yield ◽  
Sources Of Information ◽  
Control Techniques ◽  
Pests And Diseases

<p>Pest and disease are important biotic obstacles to increase rice yield and production in Indonesia since adoption of green revolution to increase rice yield. This is partly due to the irrational use of pesticides. This paper is a review on information technology (IT) based decision support system (DSSs) in line to the integrated pest management (IPM) implementation strategy for extensionists and farmers in the fields. IPM integrates compatible control techniques to manage pest populations below the economic injury level. IT based DSSs ultimately needed so that extension workers and farmers can quickly access sources of information about pests and diseases as well as prediction of development and control techniques to implement IPM. Web based DSSs to grow healthy rice plant, pest observation and monitoring, cyber extension to make famers an expert on IPM were available, except on how to identify and utilize natural enemies are still lacking. Indonesia need to develop more IT based DSSs which accessible on web as well as on smartphone and create enabling environment for improving IPM implementation on rice not only by officer but also gradually by farmers it self to control pests and diseases of rice which are still an obstacle in increasing production.</p><p>Keywords: Rice, pest, diseases, integrated pest management, information technology</p><p> </p><p><strong>Abstrak</strong></p><p>SISTEM PENDUKUNG PENGAMBILAN KEPUTUSAN HAMA TERPADU PADA TANAMAN PADI BE RPBEANSGIESNDALIAN TEKNOLOGI INFORMASI</p><p>Sejak inovasi revolusi hijau diintroduksikan di Indonesia, hama dan penyakit tanaman semakin berkembang sehingga menghambat upaya peningkatan produktivitas dan produksi padi. Hal ini antara lain disebabkan oleh penggunaan pestisida yang tidak rasional. Tulisan ini mengulas kesiapan sistem pendukung pengambilan keputusan (SPPK) berbasis teknologi informasi (TI) dalam pengendalian hama terpadu (PHT) oleh penyuluh maupun petani di lapangan. PHT mengintegrasikan berbagai teknik pengendalian hama dan penyakit agar tetap berada di bawah ambang ekonomi. TI diperlukan agar penyuluh dan petani dapat dengan cepat mengakses sumber informasi tentang jenis hama dan penyakit tanaman serta perkiraan perkembangan dan teknik pengendalian untuk penerapan PHT. SPPK berbasis TI yang bertujuan menjadikan tanaman tumbuh sehat, pengamatan dan monitoring perkembangan hama dan penyakit, serta penyuluhan berbasis web sudah tersedia, kecuali identifikasi dan cara pemanfaatan musuh alami. Oleh karena itu perlu dikembangkan SPPK berbasis TI yang dapat diakses melalui web maupun telepon pintar dan menciptakan lingkungan yang memungkinkan untuk meningkatkan implementasi PHT tidak hanya oleh petugas tetapi juga petani secara bertahap dalam upaya mengendalikan hama dan penyakit padi yang masih menjadi kendala dalam peningkatan produksi.</p><p>Kata kunci: Padi, hama, penyakit, pengendalian hama terpadu, teknologi informasi</p>

An Integrated Decision Support System for Intercropping

2012 ◽  
pp. 199-216 ◽  
Author(s):  
A. S. Sodiya ◽  
A. T. Akinwale ◽  
K. A. Okeleye ◽  
J. A. Emmanuel
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Crop Production ◽  
Large Scale ◽  
Weather Condition ◽  
Agricultural Practice ◽  
Pests And Diseases ◽  
General Decline ◽  
Fertility Protection

Intercropping, which is the agricultural practice of growing two or more crops in the same land area, is not currently yielding adequate results in Africa. Despite the advantages of intercropping like improved soil fertility, protection against pests and diseases and eventual increase in farm yield, this farming practice is faced with challenges—inadequate planning, bad crop management and lack of required intercropping expertise. Consequently, this has resulted in inadequate reward for farmers and a general decline in crop production. In this regard, the authors present an Intelligent and Integrated Intercropping Decision Support System for Intercropping (IDSS-I) for improved crop production. The design adopts a forecasting component that provides farmers with the estimated yield and income depending on the size of land, soil type and weather condition. Although the implementation was carried out using JAVA and SQL, usability testing revealed 85% acceptance of the tool among the contacted 10 large scale farmers. It was also confirmed that the system provided 95% diagnosis information for 90% common Africa crop diseases.

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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