Input Recommendation Systems
Input Recommendation System is a decision-support framework that belongs to the class of agricultural management tools and is distinguished by its specification of optimal rates, timing, and placement of nutrient inputs based on spatially variable field conditions to enhance crop productivity and environmental sustainability.
8
Publications
386
Citations
41
Authors
17
Institutions
Publications per year
2017–2026
7
Variants
Input Recommendation System
8
AgroConsultant: Intelligent Crop Recommendation System Using Machine Learning Algorithms
Zeel Doshi, Subhash Nadkarni, Rashi Agrawal et al. · 2018 · 203 citations
Agriculture, Agronomy, Crop Sciences +12
1–5 of 8
41
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1
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1
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1
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1
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1–5 of 41
17
American Society of Safety Professionals
Park Ridge, United States
1 h-index
1 publications
17 citations
Plant Industry
Canberra, Australia
1 h-index
1 publications
20 citations
University of Papua New Guinea
Port Moresby, Papua New Guinea
1 h-index
2 publications
40 citations
Cancer Institute of New South Wales
Sydney, Australia
1 h-index
2 publications
40 citations

Commonwealth Scientific and Industrial Research Organisation
Canberra, Australia
1 h-index
1 publications
20 citations
Ottawa Research and Development Centre
Ottawa, Canada
1 h-index
2 publications
106 citations
Institute of Agricultural Resources and Regional Planning
Beijing, China
1 h-index
6 publications
318 citations
De La Salle University
Manila, Philippines
1 h-index
6 publications
114 citations
1–8 of 17
1 publications · 53 citations
1
h-index
Repository · 1 publications · 29 citations
1
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Conference · 1 publications · 15 citations
1
h-index
1 publications · 20 citations
1
h-index
IJITEE · 1 publications · 30 citations
1
h-index
1–5