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Tao Sun, Longfei Cui, Lixuan Zong, Songchao Zhang, Yuxuan Jiao, Xinyu Xue and Yongkui Jin
The high cost of manual weed control and the overuse of herbicides restrict the yield and quality of soybean. Intelligent mechanical weeding and precise application of pesticides can be used as effective alternatives for weed control in the field, and th...
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Xinle Zhang, Jian Cui, Huanjun Liu, Yongqi Han, Hongfu Ai, Chang Dong, Jiaru Zhang and Yunxiang Chu
Soybean in the field has a wide range of intermixed weed species and a complex distribution status, and the weed identification rate of traditional methods is low. Therefore, a weed identification method is proposed based on the optimized Faster R-CNN al...
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Ruth Cordova-Cardenas, Luis Emmi and Pablo Gonzalez-de-Santos
This study presents the development of a route planner, called Mission Planner, for an agricultural weeding robot that generates efficient and safe routes both in the field and on the farm using a graph-based approach. This planner optimizes the robot?s ...
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Tengxiang Yang, Chengqian Jin, Youliang Ni, Zhen Liu and Man Chen
Aiming at the demand by unmanned farms for unmanned operation in the entire process of field management, an unmanned plant protection robot for field management was developed based on a platform comprising a traditional high-clearance spray rod sprayer, ...
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Gabriella Kicska and Attila Kiss
Nowadays, the high-dimensionality of data causes a variety of problems in machine learning. It is necessary to reduce the feature number by selecting only the most relevant of them. Different approaches called Feature Selection are used for this task. In...
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Phu-Nguyen Le and Hee-Jun Kang
The study proposed a robotic calibration algorithm for improving the robot manipulator position precision. At first, the kinematic parameters as well as the compliance parameters of the robot can be identified together to improve its accuracy using the j...
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Mohammed Kharrich, Omar Hazem Mohammed, Salah Kamel, Ali Selim, Hamdy M. Sultan, Mohammed Akherraz and Francisco Jurado
Recently, fast uptake of renewable energy sources (RES) in the world has introduced new difficulties and challenges; one of the most important challenges is providing economic energy with high efficiency and good quality. To reach this goal, many traditi...
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Hossein Moayedi, Dieu Tien Bui, Anastasios Dounis, Loke Kok Foong and Bahareh Kalantar
This paper focuses on the prediction of soil shear strength (SSS), which is one of the most fundamental parameters in geotechnical engineering. Consisting of 12 influential factors, namely depth of sample, percentage of sand, percentage of loam, percenta...
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Cesare Di Girolamo-Neto, Ieda Del?Arco Sanches, Alana Kasahara Neves, Victor Hugo Rohden Prudente, Thales Sehn Körting, Michelle Cristina Araujo Picoli and Luiz Eduardo Oliveira e Cruz de Aragão
Sugarcane products contribute significantly to the Brazilian economy, generating U.S. $12.2 billion in revenue in 2018. Identifying and monitoring factors that induce yield reduction, such as weed occurrence, is thus imperative. The detection of Bermudag...
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Mohammad Ehteram, Vijay P. Singh, Hojat Karami, Khosrow Hosseini, Mojgan Dianatikhah, Md. Shabbir Hossain, Chow Ming Fai and Ahmed El-Shafie
Water scarcity is a serious problem throughout the world. One critical part of this problem is supplying sufficient water to meet irrigation demands for agricultural production. The present study introduced an improved weed algorithm for reservoir operat...
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