Crop Prediction Model Using Machine Learning Algorithms
American University of the Middle East
Abstract
Machine learning applications are having a great impact on the global economy by transforming the data processing method and decision making. Agriculture is one of the fields where the impact is significant, considering the global crisis for food supply. This research investigates the potential benefits of integrating machine learning algorithms in modern agriculture. The main focus of these algorithms is to help optimize crop production and reduce waste through informed decisions regarding planting, watering, and harvesting crops. This paper includes a discussion on the current state of machine learning in agriculture, highlighting key challenges and opportunities, and presents experimental results that…
Citation impact
- FWCI
- 92.78
- Percentile
- 100%
- References
- 56
Authors
8Topics & keywords
- Machine learning
- Naive Bayes classifier
- Algorithm
- Computer science
- Artificial intelligence
- Agriculture
- Decision tree
- Precision agriculture
- Zero hunger