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Description: A transparent root-view box with built-in aeration channels to study root respiration and oxygen diffusion. The novelty lies in its modular layered transparent panels.
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Description: A device that analyzes the canopy structure and biodiversity of multi-layer agroforestry systems. By using spectral imaging and AI, it would identify different plant species and determine how effectively the canopy layers contribute to biodiversity, soil health, and overall productivity.
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Description: An integrated pest management (IPM) system that uses smart sensors, drones, and AI to detect and identify pest outbreaks or diseases in both crops and trees. The system would automatically trigger appropriate interventions such as releasing beneficial insects, spraying organic pesticides, or activating barriers to prevent pest spread.
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A smart automated nursery system integrating environmental monitoring, irrigation, temperature, humidity, and light control to optimize seedling production, growth, acclimatization, and hardening for improved transplant survival.
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An automated device that adjusts environmental parameters such as temperature, humidity, and light to optimize seed germination. It would use sensor technology and machine learning algorithms to create ideal growth conditions for various plant species, allowing for high germination rates and quicker crop cycles.
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Description: The design comprises a portable inspection case having a rigid outer shell with a hinged opening mechanism. The interior includes multiple fixed and removable compartments designed for holding meat samples securely. A transparent lid section allows visual inspection without opening the case. The exterior configuration facilitates easy carrying and stackable storage.
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Description: A handheld or gate-mounted device using Infrared Thermal Imaging (IRT) to detect localised skin inflammation caused by ticks, mites, or lice. It "maps" the parasite burden on livestock without physical contact.
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Description: A modular rearing chamber that maintains controlled temperature, humidity, and nutrition while continuously recording insect lifecycle stages through integrated imaging and analytics.