Abstract Households intensively manage lawns to create uniformly green, low diversity plant communities. Because occupy a large proportion of urban green space, they are crucial case for understanding how people manipulate vegetation. In this study, I focused on 58 homeowners who purchased newly constructed home and yard in the Seattle Metropolitan Statistical Area, USA, see preferences, lawn c...

We present N-gram GP, an estimation of distribution algorithm for the evolution of linear computer programs. The algorithm learns and samples the joint probability distribution of triplets of instructions (or 3-grams) at the same time as it is learning and sampling a program length distribution. We have tested N-gram GP on symbolic regressions problems where the target function is a polynomial ...

We propose a lawn weed detection method modified from our previous work, i.e., Bayesian classifier based method. The proposed method employs features calculated from not only the edge-strength of weed/lawn textures but also color information of RGB. Instead of using Bayesian classifier, we exploit more sophisticated classifier, i.e., supportvector machine, for detecting weeds. After weed detect...

water sources optimizing required a suitable irrigation program. different material can use to increase water use efficiency. superabsorbent is one of the materials where used in around the world. these materials put in the soil and absorb water so that reserved water is usable by plant in the time of drought stress and they can reduce stress and lead to prevent yield loss. therefore, the exper...

Lawn area measurement is an application of image processing and deep learning. Researchers used hierarchical networks, segmented images, other methods to measure the lawn area. Methods’ effectiveness accuracy varies. In this project, learning method, specifically Convolutional neural network, was applied We Keras TensorFlow in Python develop a model that trained on dataset houses then tuned par...

A simple and feasible contact mode called gravitational contact mode (GCM) was developed for the first time to imitate the practical state between soot and catalyst. By simulating rainwater adsorption on a lawn in nature, we synthesized a lawn-like CuO nanorods array, which exhibited rather good catalytic activity for diesel soot combustion under GCM. Moreover, the CuO nanorods array could serv...

Robotic soccer, and RoboCup in particular, has been a research topic for almost a decade, with an upsurge during the last few years. RoboCup is usually viewed as being a means to research, education, and dissemination. We analyse RoboCup in each of these perspectives. Firstly, we show that RoboCup is a good research challenge. Second, we conclude that RoboCup is not always useful in education. ...