Agricultural Information System Program and Environmental Management

Abstract

Some countries use agricultural information systems to assist various users, including planters,
researchers, prospective buyers, importers and exporters. First apps that came to light in
Mobile devices were social media and different entertainment channels. They are used
extensively by the people for communication, music, entertainment, Internet and social
networking. There is a lack of applications, which can be really useful for professionals to
improve their working capabilities. Though people living in rural areas use mobile phones,
there are hardly any relevant applications for them to improve their productivity. We are
proposing to implement a farmer’s information system which can be operated on their mobile
phones. Information that can be made available through such an information system includes
crops and intercrops, details of their production and export, crop and intercrop diseases,
availability of land, suitability for soil, fertilizer, research institutes, and research. Most of this
information is in the form of statistical data and facts about these crops and products made out
of them. The system is an effort to fill the gap between farmers and agricultural extension. A
farmer can provide inputs related to crops being cultivated and location-specific information
to get specific suggestions, alerts, and recommendations to improve productivity. And send text
messages to participating farmers guiding them throughout the planting season. Whenever a
farmer observes some anomalous behavior for crops or climate, the system is able to generate
recommendations based on inputs provided. This digital divide may be attributed to low literacy
levels, and/or ownership or control of mobile phones. The research has been conducted on the
four largest villages: El Monira, Boulak, El Sherka, Nasser Al-Thawra, and Sana’a. A simple
random sample of 140 respondents from the farmers’ wives (5%) was selected and chosen from
the five selected villages they were 38, 33, 32, 26, 11 respectively. The final data for this
research were collected through the personal interview with the respondents through a
questionnaire form during July and August 2017. Pearson coefficient, the relational analysis
model, and the progressive step-wise were used in analyzing the data. Numerical count,
percentages, mean, and standard deviation were used to display some of the results. The
services significantly influenced the farmers adobe modern agricultural methods (p<0.01). At
least 40 percent of registered farmers became interested in adapting users to this program,
finding it to be a reliable and accurate source of farm knowledge. Results raise two issues;
firstly, how mobile services can be designed to best fit differences in gender and social realities;
and secondly, how mobile services can be effectively monitored to ensure messages are being
received by targeted users. It is highly beneficial to agriculturists in that it efficiently addresses
real problems associated with the production of food and fiber and can help the producers
develop environmentally sustainable production systems.