Multi-objective Seeding Optimization
Multi-Objective Seeding Optimization is a computational framework in precision agriculture that simultaneously optimizes multiple, often conflicting, seeding rate objectives—such as yield maximization, resource efficiency, and environmental sustainability—by leveraging spatial variability data to generate Pareto-optimal seeding prescriptions across heterogeneous fields.
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2017–2026
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C.M. Pareek, V.K. Tewari, Rajendra Machavaram · Engineering Applications of Artificial Intelligence · 2022 · 67 citations
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Universiti Teknologi Petronas
Ipoh, Malaysia
1 h-index
1 publications
34 citations

University of Limerick
Limerick, Ireland
1 h-index
1 publications
25 citations

University of Khartoum
Khartoum, Sudan
1 h-index
2 publications
68 citations
Indian Institute of Technology Kharagpur
Kharagpur, India
1 h-index
3 publications
201 citations
Loughborough University
Loughborough, United Kingdom
1 h-index
1 publications
29 citations
Universiti Putra Malaysia
Seri Kembangan, Malaysia
1 h-index
5 publications
170 citations

University of Birmingham
Birmingham, United Kingdom
1 h-index
2 publications
58 citations
University College Dublin
Dublin, Ireland
1 h-index
2 publications
50 citations
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2 publications · 54 citations
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1 publications · 67 citations
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1 publications · 34 citations
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1 publications · 11 citations
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