Plant phenotyping through image analysis using nature inspired optimization techniques

Abstract

It becomes mandatory to raise the crop and plant production for meeting the needs globally. Wheat is considered as a second food crop in India and it occupies nearly 30 million hectares. The estimated wheat production in 2030 is about 700 million tones. Since we are in technical era, we can make use of those techniques to utilize for extracting the valuable information easily and accurately. Plant phenotyping is the process of the assessment of a plant which is very important to estimate the growth of the plant. It is essential to measure the phenotype details of a crop like wheat for producing high throughputs and analyze the yields effectively. Background estimation and plant image segmentation are the first step in an automated phenotyping process. Swarm intelligence is a global optimization technique can be applied for segmenting the plant images to analyze the growth rate of the plant efficiently. Due to its simplicity, robustness and flexibility, Swarm intelligence acts as a backbone for extracting the phenotyping properties of the plants in designing computer vision systems which can help to raise the food production.