Plant Phenotyping

Plant phenotyping is the high-throughput, quantitative measurement of plant traits, aiming to accelerate crop improvement and optimize agricultural practices. Current research heavily utilizes computer vision techniques, including convolutional neural networks (CNNs), neural radiance fields (NeRFs), and transformers, often coupled with 3D imaging (e.g., LiDAR, multi-spectral imaging) and robotics for automated data acquisition. These advancements enable more efficient and accurate assessment of plant morphology, physiology, and biochemistry, ultimately contributing to improved crop yields, disease resistance, and resource management in agriculture.