Paper · 2025 · Smart Agricultural Technology

Development, optimization and modelling of performance parameters for remote-controlled mechatronic precision planter using RSM and Hybrid PSO-ANN model

Vimalsinh Vala; Rajvir Yadav; Bikram Jyoti; et al.

9
claims
18
verbatim quotes
2
citations
2
research areas
✓
Open access · cc-by

Abstract

Precision planting plays a crucial role in optimizing crop production by ensuring accurate seed placement at the correct depth, uniform spacing, and adequate soil coverage. Inclined plate metering systems are particularly favored for their precision and cost-effectiveness, especially in scenarios involving multiple crops. Researchers are exploring advanced methods such as ANN and PSO to optimize seed metering. Mechatronics-based systems show promise by integrating IoT and robotics to enhance precision and efficiency in planting operations. A recent study focused on designing a seed metering system tailored for cotton (Gossypium hirsutum L) based on prevalent seed characteristics in the Saurashtra region of Gujarat, India. The study involved designing a planter equipped with a ground wheel, optical rotary encoder, microprocessor, stepper motor, and seed metering box. Experimental evaluations were conducted to optimize seed sowing uniformity and operational parameters using laboratory tests and hybrid techniques combining ANN with PSO algorithms. This approach effectively optimized the precision and operational efficiency of the mechatronic precision planter for cotton crop planting. The investigation further delved into the impact of inclination angle (A), seed hole geometry (P), and forward speed (S) on various cotton seed planting parameters using a mechatronic precision planter. Results indicated that with a maximum deviation of just 2.67 percent between the experimental and model-predicted average seed spacing values, the ANN-PSO model accurately approximates the ideal input parameter values for maximizing average seed spacing. The forward speed (S), inclination angle (A), and geometry of the seed hole (P) to maximize average seed spacing are found to be 0.43 m/s, 52 degrees, and 100 percent, respectively. Under the optimized conditions, the predicted values for average seed spacing, miss index, multiple index, quality of feed index, and cell fill percentage were 44.92 cm, 2.72%, 7.05%, 90.03%, and 104.67%, respectively. The integration of PSO with prediction models offered insights into enhancing precision planting efficiency and overall crop yield in mechatronic precision planters.

Abstract from the paper’s OpenAlex record; open copy licensed cc-by. Read at the source ↗

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Claims 9

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

The ANN-PSO model approximated average seed spacing with a maximum deviation of 2.67 percent from the experimental values.

Outcome
average seed spacinge1
Value
2.67 percente1
Comparator
experimentale1

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Gossypium hirsutum
Gossypium hirsutum · TaxonChriKo · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e1

“Results indicated that with a maximum deviation of just 2.67 percent between the experimental and model-predicted average seed spacing values, the ANN-PSO model accurately approximates the ideal input parameter values for maximizing average seed spacing”

✓ located verbatim in the source · abstract, characters 1404–1657 · show in text ↑
e2

“This approach effectively optimized the precision and operational efficiency of the mechatronic precision planter for cotton crop planting”

✓ located verbatim in the source · abstract, characters 1061–1199 · show in text ↑
Method / resourceobservedoriginal resultpositivesimulated

Claim · model-written summary

A forward speed of 0.43 m/s was found to maximize average seed spacing in the optimisation.

Treatment
forward speed (S)e3
Outcome
average seed spacinge3
Value
0.43 m/se3

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Gossypium hirsutum
Gossypium hirsutum · TaxonChriKo · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e2

“This approach effectively optimized the precision and operational efficiency of the mechatronic precision planter for cotton crop planting”

✓ located verbatim in the source · abstract, characters 1061–1199 · show in text ↑
e3

“The forward speed (S), inclination angle (A), and geometry of the seed hole (P) to maximize average seed spacing are found to be 0.43 m/s, 52 degrees, and 100 percent, respectively”

✓ located verbatim in the source · abstract, characters 1659–1839 · show in text ↑
Method / resourceobservedoriginal resultpositivesimulated

Claim · model-written summary

An inclination angle of 52 degrees was found to maximize average seed spacing in the optimisation.

Treatment
inclination angle (A)e3
Outcome
average seed spacinge3
Value
52 degreese3

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Gossypium hirsutum
Gossypium hirsutum · TaxonChriKo · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e2

“This approach effectively optimized the precision and operational efficiency of the mechatronic precision planter for cotton crop planting”

✓ located verbatim in the source · abstract, characters 1061–1199 · show in text ↑
e3

“The forward speed (S), inclination angle (A), and geometry of the seed hole (P) to maximize average seed spacing are found to be 0.43 m/s, 52 degrees, and 100 percent, respectively”

✓ located verbatim in the source · abstract, characters 1659–1839 · show in text ↑
Method / resourceobservedoriginal resultpositivesimulated

Claim · model-written summary

A seed hole geometry of 100 percent was found to maximize average seed spacing in the optimisation.

Treatment
geometry of the seed hole (P)e3
Outcome
average seed spacinge3
Value
100 percente3

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Gossypium hirsutum
Gossypium hirsutum · TaxonChriKo · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e2

“This approach effectively optimized the precision and operational efficiency of the mechatronic precision planter for cotton crop planting”

✓ located verbatim in the source · abstract, characters 1061–1199 · show in text ↑
e3

“The forward speed (S), inclination angle (A), and geometry of the seed hole (P) to maximize average seed spacing are found to be 0.43 m/s, 52 degrees, and 100 percent, respectively”

✓ located verbatim in the source · abstract, characters 1659–1839 · show in text ↑
Method / resourceobservedoriginal resultsimulated

Claim · model-written summary

Predicted average seed spacing under the optimised conditions was 44.92 cm.

Treatment
optimized conditionse4
Outcome
average seed spacinge4
Value
44.92 cme4

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Gossypium hirsutum
Gossypium hirsutum · TaxonChriKo · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e2

“This approach effectively optimized the precision and operational efficiency of the mechatronic precision planter for cotton crop planting”

✓ located verbatim in the source · abstract, characters 1061–1199 · show in text ↑
e4

“Under the optimized conditions, the predicted values for average seed spacing, miss index, multiple index, quality of feed index, and cell fill percentage were 44.92 cm, 2.72%, 7.05%, 90.03%, and 104.67%, respectively”

✓ located verbatim in the source · abstract, characters 1841–2058 · show in text ↑
Method / resourceobservedoriginal resultsimulated

Claim · model-written summary

Predicted miss index under the optimised conditions was 2.72%.

Treatment
optimized conditionse4
Outcome
miss indexe4
Value
2.72%e4

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Gossypium hirsutum
Gossypium hirsutum · TaxonChriKo · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e2

“This approach effectively optimized the precision and operational efficiency of the mechatronic precision planter for cotton crop planting”

✓ located verbatim in the source · abstract, characters 1061–1199 · show in text ↑
e4

“Under the optimized conditions, the predicted values for average seed spacing, miss index, multiple index, quality of feed index, and cell fill percentage were 44.92 cm, 2.72%, 7.05%, 90.03%, and 104.67%, respectively”

✓ located verbatim in the source · abstract, characters 1841–2058 · show in text ↑
Method / resourceobservedoriginal resultsimulated

Claim · model-written summary

Predicted multiple index under the optimised conditions was 7.05%.

Treatment
optimized conditionse4
Outcome
multiple indexe4
Value
7.05%e4

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Gossypium hirsutum
Gossypium hirsutum · TaxonChriKo · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e2

“This approach effectively optimized the precision and operational efficiency of the mechatronic precision planter for cotton crop planting”

✓ located verbatim in the source · abstract, characters 1061–1199 · show in text ↑
e4

“Under the optimized conditions, the predicted values for average seed spacing, miss index, multiple index, quality of feed index, and cell fill percentage were 44.92 cm, 2.72%, 7.05%, 90.03%, and 104.67%, respectively”

✓ located verbatim in the source · abstract, characters 1841–2058 · show in text ↑
Method / resourceobservedoriginal resultsimulated

Claim · model-written summary

Predicted quality of feed index under the optimised conditions was 90.03%.

Treatment
optimized conditionse4
Outcome
quality of feed indexe4
Value
90.03%e4

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Gossypium hirsutum
Gossypium hirsutum · TaxonChriKo · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e2

“This approach effectively optimized the precision and operational efficiency of the mechatronic precision planter for cotton crop planting”

✓ located verbatim in the source · abstract, characters 1061–1199 · show in text ↑
e4

“Under the optimized conditions, the predicted values for average seed spacing, miss index, multiple index, quality of feed index, and cell fill percentage were 44.92 cm, 2.72%, 7.05%, 90.03%, and 104.67%, respectively”

✓ located verbatim in the source · abstract, characters 1841–2058 · show in text ↑
Method / resourceobservedoriginal resultsimulated

Claim · model-written summary

Predicted cell fill percentage under the optimised conditions was 104.67%.

Treatment
optimized conditionse4
Outcome
cell fill percentagee4
Value
104.67%e4

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Gossypium hirsutum
Gossypium hirsutum · TaxonChriKo · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e2

“This approach effectively optimized the precision and operational efficiency of the mechatronic precision planter for cotton crop planting”

✓ located verbatim in the source · abstract, characters 1061–1199 · show in text ↑
e4

“Under the optimized conditions, the predicted values for average seed spacing, miss index, multiple index, quality of feed index, and cell fill percentage were 44.92 cm, 2.72%, 7.05%, 90.03%, and 104.67%, respectively”

✓ located verbatim in the source · abstract, characters 1841–2058 · show in text ↑