Drone based herbicide application in greengram (Vigna radiata)

An experiment was conducted during winter (rabi) season of 2023 at Anbil Dharmalingam Agricultural College and Research Institute, (Tamil Nadu Agricultural University), Tiruchirappalli, Tamil Nadu to assess the effect of drone based herbicide application in greengram. Results showed that drones could be effectively used for spraying of pre-emergence herbicide to control weeds and increase the yield of greengram. Further, application of pendimethalin 0.75 kg/ha with spray fluid of 60 litre/ha precisely through drones controlled the weeds effectively (WCE of 81.8%), increased grain yield, saved herbicide dose and spray fluid to the tune of 6.9%, 25% and 88% respectively than manual spray of pendimethalin 1.0 kg/ha with spray fluid of 500 litre/ ha. Thus, application of pendimethalin 0.75 kg/ha with spray fluid of 60 litre/ha was considered as the optimum dosage and spray fluid for drone spray to control weeds, increase grain yield and profit in greengram, considering the reduced dose of herbicide as well as the labour scarce situation

Effect of Drone Application of Pendimethalin on Microbial Population, Nodulation, Weed Control and Yield of Green Gram (Vigna radiata L.)

A field experiment was conducted at Anbil Dharmalingam Agricultural College and Research Institute, Tiruchirappalli, during Winter, 2023 to study the effect of pendimethalin application using drone on soil microbial population, nodulation, weed control and yield of green gram. The experiment was laid out in RBD with 12 treatments and 3 replications. The treatments consisted two levels of pendimethalin dosage (0.75 and 1.0 kg ha-1), five levels of spray fluids (40, 50, 60, 70 and 80 litres ha-1) for drone spray compared with manual spray of pendimethalin at 1.0 kg ha-1 with 500 litres ha-1 spray fluid and control. The results revealed that significantly higher microbial population such as bacteria (17.60 × 106 cfu/g of soil), fungi (14.90 × 103 cfu/g of soil), actinomycetes (42.60 × 104 cfu/g of soil) and rhizobium (21.30 × 105 cfu/g of soil) were recorded with no herbicide application (unweeded control) at 30 DAS than pendimethalin 1.0 kg ha-1 application either manual or drone.  The lower dose of pendimethalin 0.75 kg ha-1 with spray fluid of 60 litres ha-1 was on par with no herbicide application treatment. Significantly higher root nodules per plant-1 (17.56 and 22.51) at 30 and 45 DAS was registered under drone spray of pendimethalin 0.75 kg ha-1 with spray fluid of 60 litres ha-1. Higher weed control efficiency (72.6 %) and grain yield (747 kg ha-1) were statistically superior under drone spray of pendimethalin 1.0 kg ha-1 with spray fluid of 60 litres ha-1 over 40 or 80 litres ha-1 spray fluids and was comparable with lower dose of pendimethalin (0.75 kg ha-1) with 60 litres ha-1.  Thus, it can be inferred that pendimethalin at 0.75 kg ha-1 with spray fluid of 60 litres ha-1 was considered as ideal dose and spray fluid for drone application to get better soil microbial population, nodulation, weed control efficiency and grain yield of green gram

Molecular dynamics simulation study of rheological properties of CuO–water nanofluid

Nanoparticle (NP) dispersion in engineering fluids holds significant characteristics that impact the quality and performance of liquid fluidic systems, like in biomedical fluids, contaminated water system, heat and energy transfer applications. This paper investigates the dispersal dynamics of metal oxide NPs in the aqueous fluid using large-scale Atomic/Molecular Parallel Simulator by applying CuO NPs as a targeting material with water (H2O). Two major parameters were chosen for evaluating the actual system in the simulation: (a) Discrete particle dynamics (DPD) and (b) Charged optimized many body (COMB) potential. In comparison to the experimental results, the current molecular dynamics (MD) simulation results show good correlations with the actual MD viscosity as 2.44 mPas at 313 K. The outcomes of this study were compared with the reference study of Loya et al., i.e. CuO–water nanofluid dispersion using DPD and smoothed particle hydrodynamics that demonstrated a marginal variation between both studies.Peer reviewe