University Report: Automatic Seed Sowing Robot Research Analysis

This report focuses on the research and design of an automatic seed sowing robot, a significant innovation in agriculture aimed at increasing productivity and reducing labor. The study explores the application of artificial intelligence in agro-technology and the potential for reducing human intervention. It utilizes secondary data from the Australian Bureau of Statistics to analyze the gross value of agricultural commodities and the changes in business resources. The report also addresses research questions related to the economic aspects of agriculture and includes a literature review with references to relevant studies on seed-sowing robots and related technologies. The findings highlight the potential of these robots to enhance precision, accuracy, and the overall efficiency of agricultural processes. The report also mentions the use of search items like agriculture, Australia, economy, VACP data and merged articles. The research paper provides an overview of the advancements in agricultural technology.

Running head: AUTOMATIC SEED SOWING ROBOT
Automatic Seed Sowing Robot
Name of the student:
Name of the university:
Author Note

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Research on Automatic Seed Sowing Robot:
Field of research:
Sowing is regarded as a significant process for agriculture. The primary objective of
automatic seed sowing robot is useful decrease time of time plantation and rise productivity. In this
study “automatic seed sowing robot” is chosen as the research area. The research is helpful in saving
labor, energy and materials along with precision, accuracy and quality.
Secondary data:
Here, quantitative method is chosen to be relevant as the secondary data source. The proposal
of fabrication and design of fully “automated seed-sowing robot” retrieved from Agriculture,
Australia, 1999-2000, under Australian Bureau of Statistics is selected. The compendium analyzes
the scenario of Australian agriculture in current years. The website like is given below.
http://www.abs.gov.au/ausstats/abs@.nsf/PrimaryMainFeatures/7113.0?OpenDocument

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RQ:
Some of the research questions that are recognized from the chosen secondary data set are.
 What is the gross value of agricultural commodities that are generated in the nation and how
it fluctuated at a particular time period?
 How did the total sum value of business resources change at a specific time due to change in
a value of financial assets, buildings and land?
Variables: artificial intelligence, Australia, seed-sowing robots
Search items: agriculture, Australia, economy, VACP data.
Merged articles and Reference list:
The seed-sowing and digging robot would progress in different ground contours for future
mankind. Agro-technology using this artificial intelligence innovation would be acting as the driving
force behind the reduction of human interference making it cost and time effectively (Jahnke et al.,
2016) (Salunkhe et al., 2016) (Liu, Noguchi & Ishii, 2016) (Burrell et al., 2017) (Ghezavati et al.,
2015).
Burrell, T., Fozard, S., Holroyd, G. H., French, A. P., Pound, M. P., Bigley, C. J., ... & Forde, B. G.
(2017). The Microphenotron: a robotic miniaturized plant phenotyping platform with diverse
applications in chemical biology. Plant methods, 13(1), 10.
Ghezavati, J., Zamani, D. M., Abbasgholipour, M., Alasti, B. M., & Ranji, A. (2015). Preliminary
design, construction and evaluation of robot of tomato seed planting for the trays of
greenhouse. Journal of Agricultural Machinery, 5(2), 242-250.

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Jahnke, S., Roussel, J., Hombach, T., Kochs, J., Fischbach, A., Huber, G., & Scharr, H. (2016).
phenoSeeder-A robot system for automated handling and phenotyping of individual
seeds. Plant physiology, pp-01122.
Liu, Y., Noguchi, N., & Ishii, K. (2016). Automated threewheel rice seeding robot operating in dry
paddy fields.
Salunkhe, P. G., Shaikh, S. Y., Dhable, M. S., Sayyad, D. I., Tamboli, A. S., Professor, U. G., &
SITRC, N. (2016). Automatic Seed Plantation Robot. International Journal of Engineering
Science, 4661.