Design and fabrication of an agricultural robot for crop seeding

Azmi, Hussain Nor; Hajjaj, Sami Salama Hussen; Gsangaya, Kisheen Rao; Sultan, Mohamed Thariq Hameed; Mail, Mohd Fazly; Hua, Lee Seng

doi:10.1016/j.matpr.2021.03.191

Cited by 14 publications

(10 citation statements)

References 16 publications

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“…Hassan et al [145] presented a low-cost modular robot with a custom-designed seeding mechanism, whereas Srinivasan et al [146] created a modular tracked robot for the same task. Several authors used extremely basic and low-cost autonomous robotic platforms to construct and test their precision seeding methods [147][148][149][150][151][152]. Mohammed and Jassim [153] developed and tested a robot that can seed, fertilise, and irrigate.…”

Section: Agricultural Robot Main Functions Taxonomymentioning

confidence: 99%

A Review of Robots, Perception, and Tasks in Precision Agriculture

et al. 2022

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This review reports the recent state of the art in the field of mobile robots applied to precision agriculture. After a brief introduction to precision agriculture, the review focuses on two main topics. First, it provides a broad overview of the most widely used technologies in agriculture related to crop, field, and soil monitoring. Second, the main robotic solutions, with a focus on land-based robots, and their salient features are described. Finally, a short case study about a robot developed by the authors is introduced. This work aims to collect and highlight the most significant trends in research on robotics applied to agriculture. This review shows that the most studied perception solutions are those based on vision and cloud point detection and, following the same trend, most robotic solutions are small robots dedicated exclusively to monitoring tasks. However, the robotisation of other agricultural tasks is growing.

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Section: Agricultural Robot Main Functions Taxonomymentioning

confidence: 99%

A Review of Robots, Perception, and Tasks in Precision Agriculture

et al. 2022

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Section: Introductionmentioning

confidence: 99%

“…In the olden days, seeds were scattered by hand and then harrowed, this is imprecise, slow, and inefficient [5], [6]. The Robotic Seed Planter represents a paradigm shift in traditional seed planting methods by integrating mechatronics with precision agriculture, offering benefits like increased accuracy, reduced labour requirements [6], optimized resource use [7], [8], and lower operating costs [9]. At its core, the robotic seed planter integrates intelligent systems and sensors, that analyse soil conditions, and ensure precise seed placement and consistent spacing for improved crop yields and resource efficiency [10], [11].…”

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 Internet of Things and sensors provide farmers with real-time information on soil parameters, temperature, gases in the air, weather conditions, and many other parameters, which are often passed to cloud infrastructures and can then be used for analysis and prediction [48][49][50][51]. Autonomous platforms (robots, unmanned ground vehicles (UGVs)) and tractors can execute warehouse operations, as well as carry out common farming operations such as planting [52], fertilization [53], pruning [54], weeding [55], hilling, and crop condition monitoring [56][57][58]. When it comes to greenhouse farming, navigation becomes challenging, limiting the application of UAVs and setting specific requirements for autonomous platforms, such as moving on different types of surfaces, working in different light conditions, and processing high-resolution imagery [59][60][61][62].…”

Section: Introductionmentioning

confidence: 99%

Advanced Technologies and Artificial Intelligence in Agriculture

Uzhinskiy

2023

AppliedMath

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According to the Food and Agriculture Organization, the world’s food production needs to increase by 70 percent by 2050 to feed the growing population. However, the EU agricultural workforce has declined by 35% over the last decade, and 54% of agriculture companies have cited a shortage of staff as their main challenge. These factors, among others, have led to an increased interest in advanced technologies in agriculture, such as IoT, sensors, robots, unmanned aerial vehicles (UAVs), digitalization, and artificial intelligence (AI). Artificial intelligence and machine learning have proven valuable for many agriculture tasks, including problem detection, crop health monitoring, yield prediction, price forecasting, yield mapping, pesticide, and fertilizer usage optimization. In this scoping mini review, scientific achievements regarding the main directions of agricultural technologies will be explored. Successful commercial companies, both in the Russian and international markets, that have effectively applied these technologies will be highlighted. Additionally, a concise overview of various AI approaches will be presented, and our firsthand experience in this field will be shared.

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Design and fabrication of an agricultural robot for crop seeding

Cited by 14 publications

References 16 publications

A Review of Robots, Perception, and Tasks in Precision Agriculture

A Review of Robots, Perception, and Tasks in Precision Agriculture

Development of an unmanned ground vehicle for seed planting

Advanced Technologies and Artificial Intelligence in Agriculture

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