Plant-Sensing Robots Use AI to Optimize Water Use in Agriculture

Plant-Sensing Robots Use AI to Optimize Water Use in Agriculture

By
Jordan Parker

Publish Date:June 25, 2025

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📰 The quick summary: AI-powered sensing robots can now monitor plant water needs autonomously using electrical signals from the plants themselves, helping address global food insecurity with precision irrigation.
📈 One key stat: Nearly 828 million people suffer from hunger worldwide, highlighting the urgent need for smarter, resource-efficient food production solutions.
💬 One key quote: “Our non-invasive sensing robot improves this process by enabling continuous and efficient monitoring of plant health, making automation more responsive and effective.”

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1️⃣ The big picture: Researchers at Simon Fraser University have developed an innovative AI-powered sensing robot that can autonomously monitor plant water needs by interpreting electrical signals directly from tomato plants. This technology eliminates guesswork in irrigation by responding to the plant’s actual requirements in real-time. The system represents a significant advancement in precision agriculture, addressing both food insecurity affecting 828 million people worldwide and water scarcity impacting over two billion people. By optimizing resource use and reducing waste, these autonomous farming systems offer promising solutions for sustainable food production even in regions with limited arable land.

2️⃣ Why is this good news: The technology eliminates traditional guesswork in irrigation by responding precisely to plants’ actual needs, significantly improving water efficiency and reducing waste. This AI system contributes to sustainable agriculture by optimizing resource use while maximizing crop yields and plant health. For regions facing water scarcity, these autonomous systems provide practical solutions that can operate with minimal human oversight. The research team is working to make these technologies accessible to smallholder farms worldwide, potentially transforming agricultural practices in areas most affected by climate change and resource limitations.

3️⃣ What’s next: Researchers aim to scale this technology from controlled greenhouse environments to field applications across diverse agricultural settings. Making these systems affordable and simple to use remains a priority to ensure accessibility for farmers in various regions. International collaboration through cross-border research partnerships will accelerate the deployment of these smart agriculture solutions globally.

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Read the full story here: The Conversation – Autonomous AI systems can help tackle global food insecurity

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