Adaptive Lemuria: A progressive future crop prediction algorithm using data mining
Tài liệu tham khảo
Kenoyer, 2005, 21
Broadberry, 2010
Singh, 2016, Progress and performance of agriculture in India, J. Agroecol. Nat. Resour. Manage., 3, 67
Graves, 2004
Nurdin, 2020, Assessment of land evaluation on erosion reduction with Agroforestry approach around Lake Ngade area, Vol. 499
Breuning-Madsen, 2010, Influence of perennial colonies of piscivorous birds on soil nutrient contents in a temperate humid climate, Geogr. Tidsskr. J. Geogr., 110, 25
Alburquerque, 2007, Effects of a compost made from the solid by-product (“alperujo”) of the two-phase centrifugation system for olive oil extraction and cotton gin waste on growth and nutrient content of ryegrass (Lolium perenne L.), Bioresour. Technol., 98, 940, 10.1016/j.biortech.2006.04.014
Kang, 2009, Climate change impacts on crop yield, crop water productivity and food security–a review, Prog. Nat. Sci., 19, 1665, 10.1016/j.pnsc.2009.08.001
Buono, 2005, Interactive pattern search in time series, Vol. 5669, 175
Wallach, 2017, Accounting for both parameter and model structure uncertainty in crop model predictions of phenology: a case study on rice, Eur. J. Agron., 88, 53, 10.1016/j.eja.2016.05.013
Delen, 2005, Predicting breast cancer survivability: a comparison of three data mining methods, Artif. Intell. Med., 34, 113, 10.1016/j.artmed.2004.07.002
McGregor, 2004, Flow clustering using machine learning techniques, 205
Kidido, 2019, Gender dimensions of youth access to agricultural land under customary tenure system in the Techiman traditional area of Ghana, J. Plan. Land Manag., 1, 81
Varnek, 2012, Machine learning methods for property prediction in chemoinformatics: quo vadis?, J. Chem. Inf. Model., 52, 1413, 10.1021/ci200409x
Shiferaw, 2011, Crops that feed the world 6. Past successes and future challenges to the role played by maize in global food security, Food Secur., 3, 307, 10.1007/s12571-011-0140-5
Gandhi, 2016, Rice crop yield prediction in India using support vector machines, 1
Rodriguez-Galiano, 2012, An assessment of the effectiveness of a random forest classifier for land-cover classification, Isprs J. Photogramm. Remote. Sens., 67, 93, 10.1016/j.isprsjprs.2011.11.002
Han, 2019, Coupling a bat algorithm with xgboost to estimate reference evapotranspiration in the arid and semiarid regions of china, Adv. Meteorol., 2019, 10.1155/2019/9575782
Sharma, 2013, Mobile sensing for agriculture activities detection, 337
Hosmer, 2013, Vol. 398
Weisberg, 2005, Vol. 528
Yegnanarayana, 2009
Bhojani, 2020, Wheat crop yield prediction using new activation functions in neural network, Neural Comput. Appl., 1
Khaki, 2020, A cnn-rnn framework for crop yield prediction, Front. Plant Sci., 10, 1750, 10.3389/fpls.2019.01750
Hammer, 2020, Sugarcane yield prediction through data mining and crop simulation models, Sugar Technol., 22, 216, 10.1007/s12355-019-00776-z
Kim, 2019, A comparison between major artificial intelligence models for crop yield prediction: case study of the midwestern United States, 2006–2015, ISPRS Int. J. Geoinf., 8, 240, 10.3390/ijgi8050240
Gopal, 2019, A novel approach for efficient crop yield prediction, Comput. Electron. Agric., 165, 104968, 10.1016/j.compag.2019.104968
Cheghabalaki, 2019, Spatial dynamics of a phlebotomine sand flies population in response to climatic conditions in Bushehr Province of Iran, Ann. Global Health, 85, 1, 10.5334/aogh.30
Medar, 2019, Crop yield prediction using machine learning techniques, 1
Kumar, 2018, Efficient crop yield prediction using machine learning algorithms, Int. Res. J. Eng. Sci. Technol. Innov., 5
Afrin, 2018, Analysis of soil properties and climatic data to predict crop yields and cluster different agricultural regions of Bangladesh, 80
Gümüşçü, 2019, Estimation of wheat planting date using machine learning algorithms based on available climate data, Sustain. Comput. Inform. Syst.
Wang, 2013, Automated crop yield estimation for apple orchards, 745
Tamil Selvi, 2020, Lemuria: A Novel Future Crop Prediction Algorithm Using Data Mining, Comput. J.