Design of an autonomous seed planting robot

Srinivasan, Nandagopal; Prabhu, Prithviraj; Smruthi, S Sanjana; Sivaraman, Natarajan; Gladwin, S. Joseph; Rajavel, R.; Natarajan, Abeshek Ram

doi:10.1109/r10-htc.2016.7906789

Cited by 17 publications

(4 citation statements)

References 1 publication

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“…Precision agriculture robot for seeding function [30] Design of an autonomous seed planting robot [31] Automated seed sowing agribot using Arduino [32].…”

Section: Referencementioning

confidence: 99%

Microcontroller Implementation in Precision Planting: A Review

Beg,

Chauhan

2024

AJAAR

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Precision farming, also known as precision agriculture, is a crop management method that optimizes agricultural production by utilizing technology and data for precise placement of seed, fertilizer and pesticides. It enhances increase crop yields, reduce waste, and reduce environmental impact by applying the appropriate amount of inputs, such as seed, water, fertilizer, and pesticides for each crop. Farmers can reduce expenses by reducing the usage of expensive inputs while increasing yields and crop quality by employing precision farming techniques. Commercially available planters normally use mechanical metering systems which have many limitations including, skidding of the wheel, non-uniform seed rate, wastage of the seed and higher maintenance cost. It is evident from recent researchers that irregularly in seed placement, which is generally caused due to wheel slippage and seed metering systems powered by electric or hydraulic motor can maintain accurate seed placement and can work at higher speeds compared to traditional planters.

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“…Precision agriculture robot for seeding function [30] Design of an autonomous seed planting robot [31] Automated seed sowing agribot using Arduino [32].…”

Section: Referencementioning

confidence: 99%

Microcontroller Implementation in Precision Planting: A Review

Beg,

Chauhan

2024

AJAAR

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“…To maximize the robot's weight versus soil compaction ratio, Indian researchers presented in 2016 a prototype of a small-sized seed drill robot with the capacity to transport a reservoir with up to 17 kg of payload, using the locomotion system with tracked drives to carry heavy loads on non-uniform soils. As it is a prototype in the initial research phase, the authors propose the use of a photovoltaic panel to recharge the robot's electrical system, as well as the implementation of a Kalman Filter to improve the estimation of the robot's position and location along with the crop [31].…”

Section: Robotic Applications In Agriculture For Sowing and Plantingmentioning

confidence: 99%

Advances in Agriculture Robotics: A State-of-the-Art Review and Challenges Ahead

2021

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The constant advances in agricultural robotics aim to overcome the challenges imposed by population growth, accelerated urbanization, high competitiveness of high-quality products, environmental preservation and a lack of qualified labor. In this sense, this review paper surveys the main existing applications of agricultural robotic systems for the execution of land preparation before planting, sowing, planting, plant treatment, harvesting, yield estimation and phenotyping. In general, all robots were evaluated according to the following criteria: its locomotion system, what is the final application, if it has sensors, robotic arm and/or computer vision algorithm, what is its development stage and which country and continent they belong. After evaluating all similar characteristics, to expose the research trends, common pitfalls and the characteristics that hinder commercial development, and discover which countries are investing into Research and Development (R&D) in these technologies for the future, four major areas that need future research work for enhancing the state of the art in smart agriculture were highlighted: locomotion systems, sensors, computer vision algorithms and communication technologies. The results of this research suggest that the investment in agricultural robotic systems allows to achieve short—harvest monitoring—and long-term objectives—yield estimation.

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“…Ruangurai et al [144] used an unusual three-wheel rice-seeding robot to attain comparable seeding accuracy. 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].…”

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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Design of an autonomous seed planting robot

Cited by 17 publications

References 1 publication

Microcontroller Implementation in Precision Planting: A Review

Microcontroller Implementation in Precision Planting: A Review

Advances in Agriculture Robotics: A State-of-the-Art Review and Challenges Ahead

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

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