Agriculture Management System

Takondwa Kaiya *, Chipatso Medi**, Fanny Chatola***
*-*** Department of Computer Science, DMI St John the Baptist University, Lilongwe, Malawi.
Periodicity:October - December'2023
DOI : https://doi.org/10.26634/jcom.11.3.20228

Abstract

The Agriculture Management System is a web-based platform that provides farmers with a full range of agricultural information. Its goal is to increase farmers' productivity and profitability by using a centralized system for managing their agricultural operations. The system gives farmers access to critical data such as weather forecasts, soil and crop statistics, allowing them to make informed decisions and improve their farming operations. In terms of weather management, the technology provides precise forecasts, which help farmers plan their operations more efficiently. Farmers can use this data to identify the best time to plant, harvest, and perform other agricultural duties. Regarding market prices, the AMS gives farmers with real-time crop and livestock prices, allowing them to make informed pricing and marketing decisions. Furthermore, the technology provides farmers with critical soil and crop data, giving them insights into soil quality and crop health. This data helps farmers improve their agricultural practices by allowing adjustments to planting schedules, fertilizing, and irrigation systems to increase crop yields and quality. Recognizing the value of cooperation and information sharing, the AMS includes an AI-powered chatbot. This feature allows farmers to share information, seek assistance, and ask questions about the agricultural management system, including crops, soil, market trends, and weather management. The incorporation of this interactive technology encourages a communitydriven approach to agricultural management, creating a conducive atmosphere for farmers to flourish.

Keywords

Firebase, Web Service, Weather Data Intergration, Crop Planning, Pest and Disease Management.

How to Cite this Article?

Kaiya, T., Medi, C., and Chatola, F. (2023). Agriculture Management System. i-manager’s Journal on Computer Science, 11(3), 25-35. https://doi.org/10.26634/jcom.11.3.20228

References

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