Page 856 - AI for Good Innovate for Impact
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AI for Good Innovate for Impact



                      Encourage sustainable resource use by intelligently managing inputs like water, fertilizers, and
                      energy, enhancing efficiency and minimizing environmental waste.

                      Contribute to climate change mitigation by supporting precision agriculture techniques that
                      reduce greenhouse gas emissions, such as optimized fertilization planning based on real-time
                      environmental data.

                      2�3     Future Work

                      •    Data collection (Agricultural knowledge base, crop and plant disease/pest images, market
                           information data, etc).
                      •    Model development (Enhance the accuracy of Q&A and pest/disease identification; Add
                           agricultural policy Q&A and interpretation, soil testing and formulated fertilization, etc.)


                      3      Use Case Requirements

                      •    REQ-01: It is required to provide an interactive question-and-answer (Q&A) interface for
                           addressing agricultural topics.
                      •    REQ-02: It is required to deliver planting guidance through the Q&A interface to assist
                           farmers in crop planning.
                      •    REQ-03: It is required to offer farming recommendations via the Q&A interface for
                           improved agricultural practices.
                      •    REQ-04: It is required to make agricultural technical knowledge accessible through the
                           Q&A interface to support informed decision-making.
                      •    REQ-05: It is required to enable users to upload images for pest and disease identification.
                      •    REQ-06: It is required to identify pest types accurately from user-uploaded images.
                      •    REQ-07: It is required to identify disease types accurately from user-uploaded images.
                      •    REQ-08: It is required to achieve an identification accuracy rate exceeding 86% for pests
                           and diseases detected from images.
                      •    REQ-09: It is required to generate treatment plans for pests and diseases identified
                           through image analysis.
                      •    REQ-10: It is recommended to provide agricultural product price analysis through a
                           natural language Q&A interface.
                      •    REQ-11: It is recommended to offer market trend predictions for agricultural products
                           via the Q&A interface.































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