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Farmacy

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Mihir Sharma and Ragunath Rajasekar

Project Information

Using advanced analytics to improve agricultural practices and enhance crop productivity. Traditionally, agriculture has relied on conventional methods and limited data analysis techniques to manage crops and maximize yield. However, with the advancements in technology and the availability of advanced analytics tools, there is an opportunity to revolutionize agricultural practices.

Phase 1

Research

About this Phase

Numerous studies and research initiatives have been conducted…

Precision Agriculture:  Research has shown that precision agriculture techniques, when combined with advanced analytics, can lead to significant improvements in crop productivity and resource efficiency.

Internet of Things (IoT): IoT devices, such as soil moisture sensors, weather stations, and automated irrigation systems, can provide real-time data on various environmental parameters.

Predictive Analytics: Advanced analytics techniques, including machine learning and predictive modeling, have been used to analyze large datasets in agriculture.

Farm Management Systems: Farm management systems integrate various technologies and analytics tools to provide farmers with comprehensive solutions for planning, monitoring, and optimizing their operations.

Data Integration and Interoperability: One of the challenges in implementing modern technologies and advanced analytics in agriculture is the integration and interoperability of data from different sources and platforms.

Adoption and Socioeconomic Factors:  Studies have identified factors such as farmers’ awareness, access to technology, affordability, technical support, and training as crucial determinants of successful implementation.

Phase 2

Problem Definition

About this Phase

Using advanced analytics to improve agricultural practices and enhance crop productivity…

Traditionally, agriculture has relied on conventional methods and limited data analysis techniques to manage crops and maximize yield. However, with the advancements in technology and the availability of advanced analytics tools, there is an opportunity to revolutionize agricultural practices.

This involves defining clear goals and objectives, assessing the current state of agricultural practices, identifying relevant technologies, collecting and integrating data, developing analytical capabilities, planning technology implementation, fostering collaborations, monitoring and evaluating performance, scaling up successful implementations, and emphasizing continuous improvement.

Phase 3

Ideation

About this Phase

Brainstorming user flow with various ideas mapped out for implementing modern technologies and advanced analytics in agriculture.

After mapping down all the ideas. It was time to create some basic wireframes, 3 visual design themes and consistent and cohesive design standards for the app.

Phase 4

Prototyping

About this Phase

Brainstorming user flow with various ideas mapped out for implementing modern technologies and advanced analytics in agriculture.

After mapping down all the ideas. It was time to create some basic high-fi wireframes, visual design, and lastly, final designs along with consistent and cohesive design standards for the app.