Drone based herbicide application in greengram (Vigna radiata)

T  RAMESH; S  MADHUSREE; S  RATHIKA; S  MEENA; K  RAJA

doi:10.56093/ijas.v94i3.144541

Authors

T RAMESH Anbil Dharmalingam Agricultural College and Research Institute (Tamil Nadu Agricultural University), Tiruchirappalli, Tamil Nadu 620 027, India
S MADHUSREE Anbil Dharmalingam Agricultural College and Research Institute (Tamil Nadu Agricultural University), Tiruchirappalli, Tamil Nadu 620 027, India
S RATHIKA Anbil Dharmalingam Agricultural College and Research Institute (Tamil Nadu Agricultural University), Tiruchirappalli, Tamil Nadu 620 027, India
S MEENA Anbil Dharmalingam Agricultural College and Research Institute (Tamil Nadu Agricultural University), Tiruchirappalli, Tamil Nadu 620 027, India
K RAJA Anbil Dharmalingam Agricultural College and Research Institute (Tamil Nadu Agricultural University), Tiruchirappalli, Tamil Nadu 620 027, India

https://doi.org/10.56093/ijas.v94i3.144541

Keywords:

Dosage, Drone, Grain yield, Greengram, Pendimethalin, Spray fluid, Weed control efficiency

Abstract

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.

Downloads

Download data is not yet available.

References

Agurob M C, Bano A J, Paradela I, Clar S, Aleluya E R and Salaan C J. 2023. Autonomous vision-based unmanned aerial spray system with variable flow for agricultural application. IAENG International Journal of Computer Science 50(3): 1–15.

Anonymous. 2020–21. Annual report. Ministry of Agriculture and Farmers Welfare, Government of India.

Dayana K, Ramesh T, Avudaithai S, Sebastian S P and Rathika S. 2022. Feasibility of using drone for foliar spraying of nutrients in irrigated greengram. Ecology, Environment and Conservation 28: S548–S553. DOI: https://doi.org/10.53550/EEC.2022.v28i01s.064

Devasenapathy P, Senthilkumar G and Shanmugam P. 2009. Energy management in crop production. Indian Journal of Agronomy 54(1): 80–90. DOI: https://doi.org/10.59797/ija.v54i1.4771

Gomez K A and Gomez A A. 1984. Statistical Procedures for Agricultural Research, 2nd edn. International Rice Research Institute, Manila Philippines and John wiley and sons, New York, USA.

Jeevan N, Pazhanivelan S, Kumaraperumal R, Ragunath K, Arthanari P M, Sritharan N, Karthikkumar A and Manikandan S. 2023. Effect of different herbicide spray volumes on weed control efficiency of a battery-operated Unmanned aerial vehicle sprayer in transplanted rice. Journal of Applied and Natural Science 15(3): 972–77. DOI: https://doi.org/10.31018/jans.v15i3.4753

Khan R U, Rashid A and Khan M S. 2011. Impact of various rates of pendimethalin herbicide on weed control, seed yield and economic returns in mungbean under rainfed conditions. Journal of Agricultural Sciences 49(4): 491–98.

Mani V S, Malla M L and Gautam K C. 1973. Weed-killing chemicals in potato cultivation. Indian Farming 23(1): 17–18.

Muthuram T, Krishnan R and Baradhan G. 2018. Productivity enhancement of irrigated greengram through integrated weed management. Plant Archives 1(18): 101–05.

Paul R A, Arthanari P M, Pazhanivelan S, Kavitha R and Djanaguiraman M. 2023. Drone-based herbicide application for energy saving, higher weed control and economics in direct-seeded rice. The Indian Journal of Agricultural Sciences 93(7): 704–09. DOI: https://doi.org/10.56093/ijas.v93i7.137859

Ramesh T and Rathika S. 2020. Management of Trianthema portulacastrum through herbicides in greengram. Indian Journal of Weed Science 52(3): 286–89.

Shan C, Wang G, Wang H, Xie Y, Wang H, Wang S, Chen S and Lan Y. 2021. Effects of droplet size and spray volume parameters on droplet deposition of wheat herbicide application by using UAV. International Journal of Agricultural and Biological Engineering 14(1): 74–81. DOI: https://doi.org/10.25165/j.ijabe.20211401.6129

Sinchana J K and Raj S K. 2023. Weed management in pulses. A review. Legume Research-An International Journal 46(5): 533–40.

Sudesh Kumar, Gupta K C, Rani Saxena, Yadav M R and Bhadhoria S S. 2019. Efficacy of herbicides on weed management in greengram (Vigna radiata L.) in semi-arid eastern plain zone of Rajasthan. Annals of Plant and Soil Research 21(1): 14–18.

Supriya C, MuraliArthanari P, Kumaraperumal R and Sivamurugan A P. 2021. Optimization of spray fluid for herbicide application for drones in irrigated maize. International Journal of Plant and Soil Science 33(21): 137–45. DOI: https://doi.org/10.9734/ijpss/2021/v33i2130665

Udhaya A, Rathika S, Ramesh T and Janaki D. 2021. Response of greengram under different weed management practices. Ecology, Environment and Conservation 27(4): 1974–77.

Zhang K, Chen J, Wang C, Han L, Shang Z, Wang G and Guo R. 2020. Evaluation of herbicides aerially applied from a small unmanned aerial vehicle over wheat field. International Journal of Precision Agricultural Aviation 3(1): 49–53. DOI: https://doi.org/10.33440/j.ijpaa.20200301.61