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Application of Weather Forecasting Apps for Agricultural Development in Bangladesh

M. N. H. Khan
Department of Environmental Science and Engineering, Jatiya Kabi Kazi Nazrul Islam University, Trishal, Mymensingh – 2220, Bangladesh

M. A. Farukh
Department of Environmental Science, Bangladesh Agricultural University, Mymensingh - 2202, Bangladesh

M. M. Rahman
Department of Electrical and Electronic Engineering, Jatiya Kabi Kazi Nazrul Islam University, Trishal, Mymensingh – 2220, Bangladesh

Abstract/ Executive Summary:

Agriculture is governing the rural as well as national economy of Bangladesh. Agricultural production closely depends on weather phenomena such as sunlight, temperature, rainfall, humidity, etc. These weather conditions have both positive and negative impacts on the agricultural productivity. Lack of modern technology such as weather forecasting tools influence to decrease agricultural productivity as well as product quality. This study was conducted to find out ways to minimize negative impacts and boost up positive impacts of weather phenomena. Associated problems were summarized analyzing historical information and case studies. To solve these problems modern technology as mobile application was searched. When farmer had no forecasted data regarding rainfall, sunlight etc. they faced different problems such as harvested rice washed out by rain, seeds from seedbed washed out due to rain, rainfall occur just few hours after irrigation as a result loss energy, seeds wet and damage due to rainfall when drying as a result decrease seed quality, washed out fertilizer and pesticide just after applied and so on. These problems could be solved very easily and increase agricultural productivity by using simple weather forecasting tools. Nowadays we can predict such weather conditions monthly, daily as well as hourly by a mobile application with accurately. When farmers will know the weather condition using mobile weather forecasting application before their desire task, they will able to decide properly. Using this apps benefit would come several ways such as protection of ripe crops in the field; protection of crops from rain when drying; save water and energy from irrigation and so on. To apply this simple technology, it is necessary to train selected farmers from farmers’ community.

Keywords: Weather forecasting app, Agriculture, Development, Bangladesh

Location: In Bangladesh

Start Date:

End Date:

Program Area: Knowledge Management

Commodity: Weather/Climate, Forecasting

Objectives:

The ability to predict climate has improved in recent years and there have been significant and increasing efforts devoted in various parts of the world to apply climate information for improving agricultural systems (Jagtap et al., 2002). This study was conducted to find out ways to minimize negative impacts and boost up positive impacts of weather phenomena for the agricultural production in Bangladesh.

Methodology:

This study was conducted based on case studies and conceptual methods. Associated problems regarding weather and agricultural production were summarized by analyzing historical information and case studies. After analyzing these data a concept was made to minimize the problems. Modern technology as a mobile application for weather forecasting was found to solve these problems. A conceptual chart was made showing use of the technology by the stockholders especially farmers.

Source of Information: Bangladesh Journal of Extension Education Volume 30, No. 1, 2018: 53-61 ISSN 1011-3916

Article Link (Online Journal):

Funding Source:

Budget:

Total Budget (Tk.) :

Achievement/Findings:

Problem associated to the weather phenomena which decrease the agricultural production could be minimize very easily with mobile apps as simple technology. If this mobile weather app could be applying, agricultural production will be increase and finally national economy will grow up. However, weather forecast warnings can only achieve their full value if conceived, executed and applied in close and continuous cooperation with the “data users”. Thus, successful policies require precise information on the weather and how it affects harvests. To apply and disseminate this technology to the farmer following measures would be taken - 1. It will necessary to aware farmers where farmers are not aware regarding the weather apps 2. To apply this simple technology, it is necessary to train selected farmers from farmers’ community 3. A pilot project would be taken to measure the feasibility of the application of the technology.

Knowledge Management: Journal