Utilizing a Long Short-Term Memory (LSTM) Machine Learning Algorithm to Create Soil Moisture Prediction Models and Improve Water Productivity in Southern California
By Aurrel Bhatia
Currently, two-thirds of the global population experiences water scarcity. One-fifth of the world population currently lives in conditions of physical water scarcity, where there is not enough water to meet their demands, and one-quarter of the world’s population experiences economic water scarcity, where their region has enough water to meet the necessary personal, agricultural, environmental, and industrial needs, but lack sustainable accessibility. Existing literature determined that water scarcity occurred more often in areas where irrigation systems had low water productivity (WP) and water use efficiency (WUE), primarily caused by a lack of sufficient irrigation scheduling technology. To fully address the issue, aiding water scarcity in many regions requires proper technological innovation to manage available resources rather than drawing from new ones … Many students think that every research project needs to be some Nobel Prize level worth endeavor, but everyone must start somewhere. When conducting research, no matter the topic or complexity, every experience is something to learn from. As my school research teacher used to remind us, when starting out, it is important to remember that every master was once a beginner. The best way to start is to explore. My advice to any beginning researcher would be to stay curious, develop your knowledge base, pursue your passions, and don’t be afraid about the result. There is no way to guarantee a finding, but by trying, no matter what ends up happening, you end up learning something, and that my friends, is the best feeling in the world …