UAV Technology for Precision Weed Detection and Management
Bobilan Debbarma*
Dept. of Agronomy, College of Agriculture Tripura, Lembucherra, West Tripura (799 210), India
Abhijit Saha
Dept. of Agronomy, College of Agriculture Tripura, Lembucherra, West Tripura (799 210), India
Suhrid Teli
Dept. of Agronomy, College of Agriculture Tripura, Lembucherra, West Tripura (799 210), India
DOI: https://doi.org/10.54083/PHA/1.1.2023/08-10
Keywords: Sensors, UAVs, Weeds detection, Weed management
Abstract
In India population increases rapidly day-by-day, therefore food demand also increases. Traditional farming is insufficient to meet these demands. Thus, Unmanned Aerial Vehicles (drones) were introduced, enabling Weed Management in less time, efficient use of herbicide and pesticide to bring sustainability to the environment and their resources. One of the most detrimental biotic variables in agriculture, weeds significantly reduces yields across the globe. Weed patches from crop fields can be identified by using drone sensors. Drone camera sensors can optimize weed in relation to leaf density, chlorophyll concentration and other plant canopy characteristics. The article emphasizes weed detection and management by the use of potential sensors of Unmanned Aerial Vehicles (drones) technology for better agriculture output.
Downloads
not found
Reference
Anonymous, 2022. Spot Spraying With Drones: Using Technology to Cut Herbicide Use in Half. DJI Agriculture, AGRAS T20. Available at: https://ag.dji.com/case-studies/dji-ag-case-en-herbicide. Accessed on: 23rd December, 2022.
Dutta, G., Goswami, P., 2020. Application of Drone in Agriculture: A Review. International Journal of Chemical Studies 8(5), 181-187. DOI: https://doi.org/10.22271/chemi.2020.v8.i5d.10529.
Esposito, M., Crimaldi, M., Cirillo. V., Sarghini, F., Maggio, A., 2021. Drone and Sensor Technology for Sustainable Weed Management: A Review. Chemical and Biological Technology in Agriculture 8, 18. DOI: https://doi.org/10.1186/s40538-021-00217-8.
Hunter, J.E., Gannon, T.W., Richardson, R.J., Yelverton, F.H., Leon, R.G., 2020. Integration of Remote-Weed Mapping and An Autonomous Spraying Unmanned Aerial Vehicle for Site-Specific Weed Management. Pest Management Science 76(4), 1386-1392. DOI: https://doi.org/10.1002/ps.5651.
Mink, R., Linn, A.I., Santel, H.J., Garhards, R., 2019. Sensor‐based Evaluation of Maize (Zea mays) and Weed Response to Post-emergence Herbicide Applications of Isoxaflutole and Cyprosulfamide Applied as Crop Seed Treatment or Herbicide Mixing Partner. Pest Management Science 76(5), 1856-1865. DOI: https://doi.org/10.1002/ps.5715.
Oerke, E.C., 2006. Crop Losses to Pests. The Journal of Agricultural Science 144(1), 31-43. DOI: https://doi.org/10.1017/S0021859605005708.
Rosle, R., Sulaiman, N., Che’Ya, N.N., Radzi, M.F.M., Omar, M.H., Berahim, Z., Ilahi, W.F.F., Shah, J.A., Ismail, M.R., 2022. Weed Detection in Rice Fields Using UAV and Multispectral Aerial Imagery. Chemistry Proceeding 10(1), 44. DOI: https://doi.org/10.3390/IOCAG2022-12519.
Shafi, U., Mumtaz, R., Gercia-Nieto, J., Hassan, S.A., Zaidi, S.A.R., Iqbal, N., 2019. Precision Agriculture Techniques and Practices: From Considerations to Applications. Sensors 19(17), 3796. DOI: https://doi.org/10.3390/s19173796.