Design, Construction, and Evaluation of Automated Seeder with Ultrasonic Sensors for Row Detection

Javidan, Seyed Mohamad; MohamadZamani, Davood

doi:10.1007/s42853-021-00113-x

Cited by 9 publications

(6 citation statements)

References 7 publications

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“…Wu et al ( 2022) [126] monitor and estimate parameters of crop phenology using aerial images, considering defoliant fumigation. The design and development of a solar seeder are described by Javidan and Mohamadzamani (2021) [118], which detects crop rows. A system that extracts the main geometric parameters was developed in [114].…”

Section: Detectionmentioning

confidence: 99%

Agro-Technological Systems in Traditional Agriculture Assistance: A Systematic Review

Montalvo-Romero,

Montiel-Rosales,

Purroy-Vásquez

et al. 2023

IEEE Access

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Guaranteeing food security from agriculture in an uncertain context, derived from the effects of multiple factors, is a challenge. Traditional agricultural production is the one that faces the greatest challenges, derived from the scarce evolution in agricultural practices, despite being the one that contributes the most to the availability of food, at 80%. This systematic review aims to identify and analyze agrotechnological systems belonging to precision agriculture, which may be potentially adaptable to traditional rural agriculture. Contributions that improved crop yields from scientific and technological studies were analyzed. The PRISMA statement was used as a formal outline to collect and analyze 114 studies from the period 2018-2023. From the review, it was identified that there is a growing trend in the adoption of intelligent systems that help producers in the management of crops, accentuated in the increase of crop yield, in the determination of product quality, and in the management of water resources, mainly. Likewise, it was identified that the preponderant approach is the monitoring and control of crop development. This is achieved through emerging technologies, such as the Internet of Things, artificial intelligence, and machine learning, with information mainly collected by sensors embedded in drones, algorithms, decision support systems, sensors, and Arduino technology systems. Finally, this review shows that there are five viable systems that can be adapted to traditional agriculture to strengthen agricultural production. Therefore, the adoption of scientific-technological contributions from precision agriculture contributes to ensuring food security.INDEX TERMS Agricultural applications, food security, precision agriculture.

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Section: Detectionmentioning

confidence: 99%

Agro-Technological Systems in Traditional Agriculture Assistance: A Systematic Review

Montalvo-Romero,

Montiel-Rosales,

Purroy-Vásquez

et al. 2023

IEEE Access

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“…Javidan and Mohamadzamani [18] addressed the crucial aspects of efficient path planning and obstacle avoidance by developing an autonomous seed planter. This planter incorporated an obstacle avoidance and row detection algorithm based on ultrasonic sensors, demonstrating successful straight-line navigation at different speeds.…”

Section: Introductionmentioning

confidence: 99%

Development of an unmanned ground vehicle for seed planting

Owoeye,

Durodola,

Bode-Okunade

et al. 2024

IJRA

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As global population growth intensifies the demand for sustainable food production, the application of robotics to agriculture emerges as a promising solution. This research focuses on the design, development, and deployment of an unmanned ground vehicle for seed planting, also known as a robotic seed planter. The robotic seed planter automates seed planting processes, offering advantages such as increased accuracy, reduced labour requirements, and optimal resource usage. Parametric Technology Corporation (PTC) Creo was used for the structural design, Proteus 8.14 for the circuitry design, and Arduino IDE 2.0 with Visual Studio Code for the programming. The design incorporates seed metering and drilling mechanisms guided by intelligent systems. Results show exceptional accuracy in seed placement (94%), operational efficiency, and adaptability to diverse conditions, with energy consumption relatively low. The planter is equipped with a web application for remote monitoring and control. The application is hosted on one of the microcontrollers and WebSockets protocol is utilized for inter-microcontroller communication. It offers an auto mode for automated planting and Manual mode for easier manoeuvrability. The findings of this study demonstrate the robotic seed planter’s transformative impact on precision agriculture, providing a glimpse into the future of efficient and sustainable farming operations.

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“…The color relationships were written in a combination of RGB, HSI and YIQ color spaces. In both studies, the algorithm was able to detect tomato area with 77% and 96% accuracy, however, in fully controlled greenhouse space with abnormal light [1][2][3][4][5][6][7][8][9]. In 2008 [5], developed a cherry harvesting robot based on the visual system speci cations of three types of images (Infrared, Red and Range Image) of cherry trees.…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, it is important to mechanize harvesting operations of horticultural crops (especially grapes) for fresh consumption [4][5][6][7]. Mechanized harvesting requires the use of new techniques such as machine vision that will reduce waste and increase productivity and produce a higher quality product [2][3][4][5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Using Image Processing Technology for Detection of Red Grape Fruits in natural conditions

Nazari

Mohammadzamani

Javidan

2023

Preprint

Self Cite

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With the increase of greenhouse cultivation of grapes in order to reduce the labor cost, the mechanization of harvesting operations is one of the important issues in recent years. In this research, an image processing algorithm was designed so that the robot on the tree could recognize the position of red grapes. In order to design the algorithms, a total of 500 product clusters were taken in natural conditions. The color information of each image component containing clusters from the red grape background (leaf, sky and ground) was extracted and analyzed. RGB color space was used to identify clusters of red grapes. The results showed that 98% of the design area of the algorithm is able to extract grape clusters in a photo.

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Design, Construction, and Evaluation of Automated Seeder with Ultrasonic Sensors for Row Detection

Cited by 9 publications

References 7 publications

Agro-Technological Systems in Traditional Agriculture Assistance: A Systematic Review

Agro-Technological Systems in Traditional Agriculture Assistance: A Systematic Review

Development of an unmanned ground vehicle for seed planting

Using Image Processing Technology for Detection of Red Grape Fruits in natural conditions

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