Page 192 - AI for Good-Innovate for Impact Final Report 2024

AI for Good-Innovate for Impact

Currently, the project features an IoT fertilizer system equipped with NPK, soil moisture, and
temperature sensors. Data collected by these sensors are stored in the cloud via mobile apps
or websites for convenient monitoring. In scenarios of connectivity challenges, manual control
ensures uninterrupted system operation. It is important to note that these two systems operate
independently, providing farmers with versatile tools for efficient crop management and disease
detection in rock melon greenhouses. This comprehensive approach enhances agricultural
surveillance and promotes innovation and sustainability in farming practices, contributing to
global development goals and transforming the landscape of precision agriculture.

UN Goals:
• SDG 2: Zero Hunger,
• SDG 9: Industry, Innovation and Infrastructure,
• SDG12: Responsible Consumption and Production,
• SDG15: Life on Land

Justification UN Goals selection: SDG 2: Zero Hunger: By utilizing UAV technology and
advanced deep-learning models for efficient disease detection in melon leaves, the project
enhances agricultural productivity and ensures food security. Timely identification and
management of plant diseases can help prevent crop losses, ultimately supporting efforts
towards achieving zero hunger. SDG 9: Industry, Innovation, and Infrastructure

Integrating UAV technology, IoT systems, and Reinforcement Learning algorithms in agriculture
showcases innovation and technological advancement in the industry. This project not
only enhances agricultural surveillance but also promotes the development of sustainable
infrastructure and practices in the agricultural sector. SDG 12: Responsible Consumption and
Production. Through optimising fertilizer application, improved crop health, and data-driven
decision-making enabled by the IoT smart fertilizer system, the project promotes responsible
consumption and production patterns. Reducing resource wastage and enhancing efficiency
in farming practices contribute to more sustainable agricultural production. SDG 15: Life on
Land. The project’s focus on plant disease detection in rock melon greenhouses supports the
conservation of terrestrial ecosystems and biodiversity. By effectively managing plant diseases
through innovative technologies, the project helps maintain the health of agricultural lands
and ecosystems, aligning to promote life on land.

44�2�2� Future work

We will integrate an online plant diesease detection with the IoT intelligent fertilizer system
to analyze the correlation between data sensor inputs and detected plant diseases. This
integration seeks to optimize fertilizer application, improve crop health, and facilitate data-
driven decision-making for farmers.

Additionally, Reinforcement Learning algorithms will enhance the system's intelligence by
designing effective policies based on environmental interactions and reward processes. This
approach will allow the system to learn and adapt based on feedback provided by farmers,
ultimately improving the performance of the models.

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