Research investigating row spacing in high-yielding, high-input cotton (Gossypium hirsutum L.) production systems has found higher lint yields but no maturity benefits using high plant density, 25 cm spaced ultra-narrow rows (UNR). Seven experiments comparing 38 UNR and conventionally (100 cm) were conducted over three years to determine if changes density or management could optimize yield a s...

This work was aimed at assessing whether in silage maize it is possible to replace precisionplanting with a volumetric seeding in the perspective of developing hybrid machines to strip tilland sow both high density crops like winter cereals and low density crops like maize. This inorder to reduce the number of machines in the farm, simplify logistics and reduce amortizationcosts. Two experiment...

otal hydraulic resistance on an upland agricultural site may be influenced by several factors including standing vegetation. In this laboratory study, Darcy-Weisbach roughness coeflcients were measured for corn, cotton, sorghum, soybeans, sunflower, and wheat vegetation. Experimental variables used in this investigation in addition to crop type included plant population, row spacing, row orient...

Considerable effort is expended to conserve energy and water in current greenhouse systems, and look for alternative energy sources, especially passive heating and cooling strategies. Proper environmental management systems can significantly change the energy and moisture dynamics of greenhouse production systems. In this study, specifically, influences of dynamic row spacing on energy and wate...

Quenching cooling rate of rotary hollow cylinder by one row of water impinging jets has been experimentally studied. Water jets (d = 8 mm) with sub-cooling 55 to 85 ◦C and Reynolds number 8,006 to 36,738 impinged over rotary hot hollow cylinder (rotation speed 10 to 70 rpm) with initial temperature 250 to 600 ◦C. Impingement impact angle of row of jets varied between 0 to 135 ◦ and jet-to-jet s...

This paper presents a simple numerical wind farm model, where pragmatic choices are made in the modelling of underlying physical processes, with aim making useful power production and turbine load estimates. The model decomposes farm, inspired by approach dynamic wake meandering (DWM), into sub-models for single deficit (1D Gaussian), (statistical), added turbulence (eddy viscosity based). Part...