1) The document presents a novel approach for smart farming using data analytics and IoT technologies. It aims to help farmers overcome agricultural challenges by predicting crop success/failure ratios using analytical techniques.
2) It reviews related works that use sensors and decision support systems to facilitate irrigation management, integrate smart agriculture and clean energy systems, and estimate phenotyping variables using optical sensors.
3) It also discusses using a UAV+UGV system to estimate soil nitrogen levels across a farm to help reduce fertilizer usage and the challenges of large-scale IoT implementations in agriculture.