Intelligent Tea-Picking System Based on Active Computer Vision and Internet of Things

Intelligent farming machines are becoming a new trend in modern agriculture. The intelligence and automation allow planting to become data-driven, leading to more timely and cost-effective production and management of farms and improving the quality and output of farm products. This paper presents a proposal for developing a type of intelligent tea picking machine based on active computer vision and Internet of Things (IoT) techniques. The intelligent tea picking machine possesses an active vision system for new tip positioning and can automatically implement tea picking operation in the natural environment. The active vision system provided with a cross-light path of projection and camera is designed according to the actual characteristics of picking surface, where new tips can be recognized by referring to the color factor and their height information is easily acquired by fringe projection profilometry. Furthermore, the machine attaches wireless communication equipment to transmit the real-time status of the tea picking process to an intermediary platform and eventually to the Internet for extensive data analysis. The data such as color factor and quantity of new tips collected through IoT can be used for different quality and production evaluations. The focus of this paper can promote the automation and intelligence of tea pickers and agricultural machinery.

COLOR FACTOR IN THE RELIEF PERCEPTION OF WOVEN FABRICS

Color is a phenomenon which is perceived through the amount of the presence of light and it may show variability depending on a lot of different factor. These factors can be sorted as color of the surrounding place, environmental factors, intensity of the enlightening light source, incidence angle of the light, form and direction of incidence, amount of light etc. Visual perception of the color in textile fabrics is absorbation of some part of the light which falls on fabrics and detraction of the other part through reflection. The reason why textile seems colored in here is it’s reflecting light. Light is a pathfinder for distinction and identification of color, volume and fiber connections of relief surfaces. Color is a design element which presents wide options for weaving and provides dynamism on the surface via light reflections during creation process. Relief perception in textile fabrics is able to be strengthened with numerouseffects by being evaluated diversely, in terms of material (raw material type that is used, properties of warp and weft strings) and in terms of manufacturing methods (construction and technique of braid during weaving, special techniques that are applied after weaving), thus the light being obtained is able to create different perceptions via numerous effects like shadow, fiber, volume etc. Encolouring on textiles can be fulfilled by both using the colored strings and materials during manufacturing process and putting textiles to some special practices like painting or printing. When the visual and physical properties which make up textile fabrics are taken into account, it turns out that color makes visual contribution rather than physical value. In this study, relief effect in the textile fabric is examined only with the color factor. In the study that is prepared by using descriptive research method, the contribution of colour factor in terms of material and production methods to relief effect is explained with appropriate examples. Keywords: Relief, weaving, textile, color, volume

A Review Essay on Howard Bodenhorn's The Color Factor: The Economics of African-American Well-Being in the Nineteenth-Century South

In The Color Factor: The Economics of African-American Well-Being in the Nineteenth-Century South, Howard Bodenhorn investigates the origins, health, and socioeconomic performance of mixed-race people in the antebellum Southern United States. The central conclusion of the book is that mixed-race people fared better than darker-skinned blacks on nearly every dimension; however, they were still disadvantaged relative to whites. This review essay discusses the book's valuable data contributions and relates Bodenhorn's conclusions to the broader literature on colorism. I close with implications for future research on the economics of skin color. (JEL I12, I31, J15, J31, J71, N31)