The Role of Pesticide Technology in Agriculture 4.0: The Smart Farming Approach
Öz
Anahtar Kelimeler
Kaynakça
- Ahmad, F., Qiu, B., Dong, X., Ma, J., Huang, X., Ahmed, S. Ali Chandio, F. (2020). Effect of operational parameters of UAV sprayer on spray deposition pattern in target and off-target zones during outer field weed control application. Comput. Electron. Agric. 172, 105350, doi:10.1016/j.compag.2020.105350
- Al Heidary, M., Douzals, J.P., Sinfort, C., Vallet, A. (2014). Influence of spray characteristics on potential spray drift of field crop sprayers: A literature review. Crop Prot., 63: 120-130, doi:10.1016/j.cropro.2014.05.006
- Al-Gaadi, K.A., Ayers, P. (1999). Integrating GIS and GPS into a spatially variable rate herbicide application system. American Society of Agricultural Engineers, 15, 255-262
- Ali, M.A., Nasir, A., Khan, F.H., Khan, M.A. (2011). Fabrication of ultra low volume (ULV) pesticide sprayer test bench. Pakistan J. Agric. Sci., 48, 135-140
- Antuniassi, U.R. (2015). Evolution of agricultural aviation in brazil. Outlooks Pest Manag., 26, 12-15
- Bahlol, H.Y., Chandel, A.K., Hoheisel, G.A., Khot, L.R. (2020). The smart spray analytical system: Developing understanding of output air-assist and spray patterns from orchard sprayers. Crop Prot. 127, 104977, doi:10.1016/j.cropro.2019.104977
- Baio, F.H.R., Antuniassi, U.R., Castilho, B.R., Teodoro, P.E., da Silva, E.E. (2019). Factors affecting aerial spray drift in the Brazilian Cerrado. PLoS One, 14 (6), doi:10.1371/journal.pone.0212289
- Baio, F.H.R., Silva, E.E., Vrech, M.A., Souza, F.H.Q., Zanin, A.R., Teodoro, P.E. (2018). Vegetation indices to estimate spray application rates of crop protection products in corn. Agronomy Journal, 110, 1254-1259
Ayrıntılar
Birincil Dil
İngilizce
Konular
Otomasyon Mühendisliği
Bölüm
Araştırma Makalesi
Yazarlar
Hatice Dilaver
*
0000-0002-4484-5297
Türkiye
Yayımlanma Tarihi
20 Kasım 2024
Gönderilme Tarihi
31 Mayıs 2024
Kabul Tarihi
2 Kasım 2024
Yayımlandığı Sayı
Yıl 2024 Cilt: 17 Sayı: 1