ArticleScientific reports2026
Development and performance evaluation of variable width raised bed former with optimal parameters predicted by RBF neural network-PSO technique.
Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Raised bed planting offers numerous benefits on soil health, drainage, water savings, and improved economic and energy use efficiency. The dimension of raised bed especially top width vary for different crops according to specific growth habits, space need, and irrigation requirement of the crop, which require specialized bed former suitable for multiple crops. Considering these views in mind, the present study was undertaken on development and performance evaluation of variable width raised bed former under soil bin and field conditions. The soil bin experiments were conducted according to factorial completely randomized design with three replications to examine the effect of soil moisture content (11, 13 and 15% on wet basis), working width (0.70, 0.80 and 1.0 m) and forward speed (0.42, 0.56 and 0.69 m s
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