Dear Edwin Anakadi Butiya Juma

In My opinion,Artificial intelligence (AI) and automation can streamline urban farming operations by leveraging smart sensors and IoT devices to monitor environmental conditions like temperature, humidity, and soil moisture in real-time, enabling AI-driven systems to optimize irrigation, lighting, and nutrient delivery autonomously. Machine learning algorithms can analyze crop growth patterns, predict yields, and detect pests or diseases early, while robotic automation can handle repetitive tasks such as planting, harvesting, and sorting, reducing labor costs and increasing efficiency. By integrating these technologies, urban farms can achieve higher productivity, resource efficiency, and scalability, ensuring consistent, year-round production with minimal human intervention.

My articles need your recommendations to be seen better. Please recommend them. Thank you.

Integrating AI and automation into urban farming operations can streamline seed-to-harvest workflows via AI-driven environmental controls (lighting, irrigation), predictive analytics for pest/disease and yield forecasting, robotic planting and harvesting for high-value crops, automated sorting/packaging, and supply-chain optimization — implementation should be modular, cost-effective, and combined with training for operators to ensure adoption and sustainability.