Development of embedded automatic transplanting system in seedling transplanters for precision agriculture

Khadatkar, Abhijit; Mathur, S. M.; Dubey, Kumkum; BhusanaBabu, V.

doi:10.1016/j.aiia.2021.08.001

Cited by 16 publications

(15 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The deployment of transplanting robots in paddy field operations is essential for increasing operational effectiveness and lowering the burden of physical labor [201]. The rice transplanter is equipped with devices, including sensors and controllers, that can detect information such as crop rows, soil quality, and moisture conditions in paddy fields in realtime, which maintains the depth and spacing of rice seedlings and prevents inconsistent depth and irregular spacing [202].…”

Section: Row Detection For Transplantingmentioning

confidence: 99%

Row Detection BASED Navigation and Guidance for Agricultural Robots and Autonomous Vehicles in Row-Crop Fields: Methods and Applications

et al. 2023

View full text Add to dashboard Cite

Crop row detection is one of the foundational and pivotal technologies of agricultural robots and autonomous vehicles for navigation, guidance, path planning, and automated farming in row crop fields. However, due to a complex and dynamic agricultural environment, crop row detection remains a challenging task. The surrounding background, such as weeds, trees, and stones, can interfere with crop appearance and increase the difficulty of detection. The detection accuracy of crop rows is also impacted by different growth stages, environmental conditions, curves, and occlusion. Therefore, appropriate sensors and multiple adaptable models are required to achieve high-precision crop row detection. This paper presents a comprehensive review of the methods and applications related to crop row detection for agricultural machinery navigation. Particular attention has been paid to the sensors and systems used for crop row detection to improve their perception and detection capabilities. The advantages and disadvantages of current mainstream crop row detection methods, including various traditional methods and deep learning frameworks, are also discussed and summarized. Additionally, the applications for different crop row detection tasks, including irrigation, harvesting, weeding, and spraying, in various agricultural scenarios, such as dryland, the paddy field, orchard, and greenhouse, are reported.

show abstract

Section: Row Detection For Transplantingmentioning

confidence: 99%

Row Detection BASED Navigation and Guidance for Agricultural Robots and Autonomous Vehicles in Row-Crop Fields: Methods and Applications

et al. 2023

View full text Add to dashboard Cite

show abstract

“…Pengontrolan penutrisian, suhu dan pH sendiri merupakan faktor penting dalam sistem hidroponik. Salah satu upaya yang dapat dilakukan agar tidak ada risiko kekurangan nutrisi yaitu dengan cara memonitoring dan mengendalikan pemberian nutrisi, suhu dan pH secara otomatis menggunakan mikrokontroler [1].…”

Section: A Latar Belakangunclassified

“…Jika terjadi keterlambatan dalam pelaksanaan kontrol tersebut, dapat mempengaruhi kondisi tanaman. Untuk mengurangi risiko tersebut, salah satu tugasnya adalah menggunakan mikrokontroler untuk mengontrol nilai pH secara otomatis [1].…”

Section: A Latar Belakangunclassified

Sistem Kendali dan Monitoring Parameter Limbah Cair Tahu sebagai Larutan Nutrisi Tanaman Hidroponik Bebasis Internet Of Things

Mardika¹,

Rahajoeningroem²

2021

Jurnal Ilmiah Telekomunikasi, Kendali dan Elektronika Terapan

View full text Add to dashboard Cite

Abstrak - Pada proses pembuatan tahu, tahu menghasilkan dua macam limbah yaitu limbah padat dan limbah cair. Limbah cair tahu dapat dimanfaatkan menjadi pupuk organik cair. Salah satu cara pengolahan limbah cair tahu dengan menjadikannya pupuk organik cair yaitu melalui pencampuran limbah cair tahu dengan air baku, larutan asam dan juga larutan basa agar dapat dijadikan pupuk organik cair bagi tanaman. Penelitian ini bertujuan untuk merancang sistem monitoring dan kendali yang mampu menghasilkan pupuk organik cair bagi tanaman selada yang dibudidaya secara hidroponik dengan menggunakan mikrokontroler ATMega 2560 dan bantuan rekayasa teknologi berupa Internet of Things (IoT). Penerapan teknologi ini, pada proses pembuatan pupuk organik cair dan juga proses pemupukan salah satunya yakni dengan penerapan teknologi berbasis Internet of Things (IoT). Dimana system ini dapat memberikan informasi penting berupa tingkat kebutuhan nutrisi, suhu serta pH sebagai acuan keberhasilan pemupukan yang dapat di monitoring dan dikendalikan batas kebutuhannya setiap saat. Pupuk organik cair yang dihasilkan dengan bantuan sistem yang dirancang telah memenuhi standarisasi kualitas pupuk organik cair yang memiliki tingkat kepekatan nutrisi dengan kisaran nilai 810,14 ppm sampai 839,81 ppm, kisaran nilai suhu 26,28℃ sampai 27,18℃ dan pH dengan kisaran nilai 6,11 sampai 6,99 dimana hal ini dapat dibuktikan dengan mengacu kepada aturan Surat Keputusan Mentri Pertanian No: 261/KPTS/SR.310/M/4/2019 tentang persyaratan teknis minimal pupuk organik dan PERMEN LH RI No.5 tahun 2004 tentang nilai standar baku mutu limbah. Hasil dari penerapan perancangan sistem ini menghasilkan sayuran selada yang memiliki bobot 25 gram dan tinggi 20 cm. Kata kunci : Limbah Tahu, Pupuk Organik Cair, Internet of Things, Hidroponik, Mikrokontroler Atmega 2560.

show abstract

“…Robotic grippers, grasping as well as sensor-based methods and their applications have been reported for agricultural tasks 23 . Embedded system has been developed to automate the transplanting of vegetable seedlings in seedling transplanters 24,25 . Augmented use of electronics and computer application has made the working of robotic system possible for various field operations viz.…”

mentioning

confidence: 99%

“…Transplanting seedlings by automatic means using robots is very useful where repetitive action is involved such as in case of seedling transplanting. These technologies seem to be expensive at first but, it will be compensated when one has to cover a large area in short time with high precision with use of human labour 24,27 . The basic function of the robot equipped with automatic mechanism is to identify the heathy seedling, pick-up the seedling from the pro-tray, move it to the desired location and then release it into the delivery point.…”

mentioning

confidence: 99%

Design, development and application of a compact robotic transplanter with automatic seedling picking mechanism for plug-type seedlings

Khadatkar

Pandirwar

Paradkar

2023

Sci Rep

Self Cite

View full text Add to dashboard Cite

Automation of agricultural operation such as seedling transplanting is needed to ensure efficient as well as timely operation. Robotics is the area that needs to be focused for the future of automatic seedling transplanter. This paper presents the design, development as well as working of the robotic transplanter (RT) for plug seedlings. The developed RT consists of three systems: (1) robot initiation; (2) seedling picking mechanism (SPM); and (3) vehicle movement system (VMS). The SPM consists of a main frame, manipulator, end-effector and control unit. Whereas, the VMS is having photoelectric sensor, robot controller and DC motor. The stepper motors were mounted on the main frame for movement in XY direction. The manipulator was on the crossbar that used to move the end-effector in Z-axis. The pick-up mechanism consists of an end-effector having jaw-type gripper controlled by servo motor. The control unit consists of microchip 16F877 and the system is controlled with computer programming. The gripper moves to each seedling in the pro-tray, grasp and pick-up the seedling, moves to the delivery point and then release the seedling. The manipulator was tested and analyzed for pickup and releasing of 96 seedlings with soil base from pro-tray. The initial experimental result showed that the seedling success rate, leakage rate and successful transplanting of 30 days old chilli seedling was 95.1%, 7.6% and 90.3%, respectively. Robotic technology seems to be expensive but the scope lies in the non-availability or high cost of manual labour and to ensure timeliness of repetitive field operations.

show abstract

Development of embedded automatic transplanting system in seedling transplanters for precision agriculture

Cited by 16 publications

References 13 publications

Row Detection BASED Navigation and Guidance for Agricultural Robots and Autonomous Vehicles in Row-Crop Fields: Methods and Applications

Row Detection BASED Navigation and Guidance for Agricultural Robots and Autonomous Vehicles in Row-Crop Fields: Methods and Applications

Sistem Kendali dan Monitoring Parameter Limbah Cair Tahu sebagai Larutan Nutrisi Tanaman Hidroponik Bebasis Internet Of Things

Design, development and application of a compact robotic transplanter with automatic seedling picking mechanism for plug-type seedlings

Contact Info

Product

Resources

About