ARCHIVES

1. Aguirre, J., & Martínez, E. (2020). Precision farming Artificial intelligence in predicting crop yields modeling in precision farming
Cropping Cropping with Artificial Intelligence 178, 105750.
2. Bhatt, V., & Soni, P. (2019). Crop yield prediction models based on machine learning: A literature review International Journal of Research
in Engineering, Science and Management, 2(4), 14-19.
3. Busseti, E., Osband, I., & Wong, S. (2012). Time series deep learning (Project Report) Stanford University. Cited in:
http://cs229.stanford.edu/.
4. Chan, K.Y., & Dillon, T.S. (2013). Predicting traffic flow by using fuzzy neural networks and Taguchi method On-road sensor
configuration IEEE Transactions on Instrumentation and Measurement, vol. 62, no. 1, pp. 50-59, Feb 2013.
5. Chen, Y., & Li, X. (2020). Crop Disease prediction Deep Learning models - International Journal of Advanced Computer Science and
Applications Vol. 11(6) 376-383.
6. Choudhary, P., & Gupta, A. (2021). Systematic Review of Machine Learning Based Crop Disease Detection Computers, Materials an d
Continua, 67, 3, 2919 -2935.
7. Deo, R., & Patel, P. (2019). Rice Yield Forecasting in South Asian Region using Machine Learning Forecasting of Agricultural Systems, 176,
102667.
8. Dua, A., & Chen, L. (2018). Precision Agriculture with Big Data and Machine Learning Journal of Computational Biology 25(1), 12- 22.
9. Enireddy, Vamsidhar, K.V.S.R.P. Varma et al. (2010) Prediction of Rainfall using Backpropagation Neural Network Model. International
Journal on Computer Science and Engineering (IJCSE) Vol. 2, No. 4, pp. 1119-1121.
10. Fang, X., & Li, Y. (2020). Computer-assisted Agriculture Ensemble Methods To Predict Crop Yield Computers and Electronics 172: 105346.
11. Ghosh, S., Das, R., & Banerjee, M. (2020). Precision Agriculture: Machine Learning to Crop Management Computers and Electronics in
Agriculture 170, 105252.
12. Gowda, K., & Raghavan, S. (2021). A Smart Solution to Pest Detection with the help of the Machine Learning Algorithms. Sensors, 21(4),
1220.
13. Gupta, R., & Kumar, P. (2020). Deep Learning Model to Predict Soil Health Agricultural Engineering International: CIGR Journal, 22 (4),
145 -156.
14. Jadhav, V., & Joshi, M. (2020). Machine learning algorithm based crop yield prediction and weather forecasting Procedia Compu ter
Science, 167, 16281637.
15. Jha, K., Doshi, A., Patel, P., & Shah, M. (2019). Full review on Artificial Intelligence based on automation in agriculture Computers and
Electronics in Agriculture, 166 (104-105)