Abstract
Based on the functional-structural plant model GreenLab, a common plant category tomato was selected as a test case in order to analyze the impact of plant density on the yield. A yield optimization model was set up based on minimum ripe fruit weight constraints, fruit weight serve as the objective function for the bound-constrained optimization problem. Particle Swarm Optimization (PSO) algorithm was applied for maximizing the crop production, which will provide a theoretical reference for agronomy measures based on plant spacing.
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Yang, L., Dong, Q., Li, D. (2012). Utilizing Model to Optimize Crop Plant Density: A Case Study on Tomato. In: Li, D., Chen, Y. (eds) Computer and Computing Technologies in Agriculture V. CCTA 2011. IFIP Advances in Information and Communication Technology, vol 370. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27275-2_36
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DOI: https://doi.org/10.1007/978-3-642-27275-2_36
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-27274-5
Online ISBN: 978-3-642-27275-2
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