Technology and Data Fusion Methods to Enhance Site-Specific Crop Monitoring

Digital farming approach merges new technologies and sensor data to optimize the quality of crop monitoring in agriculture. The successful fusion technology is highly dependent on parameter collection, modeling adoption, integration being accurately implemented according specified needs farm. This technique has not yet been widely adopted due several challenges; however, our study here reviews current methods applications for fusing data. First, highlights different sensors that can be merged with other systems develop methods, such as optical, thermal infrared, multispectral, hyperspectral, light detection ranging radar. Second, using internet things reviewed. Third, shows platforms used a source technologies, ground-based (tractors robots), space-borne (satellites) aerial (unmanned vehicles) platforms. Finally, presents site-specific monitoring, nitrogen, chlorophyll, leaf area index, aboveground biomass, how improve these parameters. further reveals limitations previous provides recommendations their best available sensors. among airborne terrestrial LiDAR method crop, canopy, ground may considered futuristic easy-to-use low-cost solution enhance