Cropping pattern can explain may thing. crop diversity, soil and climate and many more. it is emergence to identify the right cropping pattern. But right cropping pattern identification is much complex and troublesome matter specially for smallholder cultivation. How google earth engine can give light on this issue?
Yes, remote sensing startup is focused on helping their customers transition to regenerative agricultural practices. Using Earth Engine and advanced machine learning models, they're able to monitor large of land globally. Google Earth Engine allows users to run algorithms on georeferenced imagery and vectors stored on Google's infrastructure. The Google Earth Engine API provides a library of functions which may be applied to data for display and analysis. Google Earth Engine is a cloud-based geospatial analysis platform that enables users to visualize and analyze satellite images of our planet.
Yes sir it is possible by the AI and Machine learning and GIS ,Some satellite based usage will help for this activity.
Yes, using Earth Engine and advanced machine learning models, they're able to monitor large of land globally. Supervised and unsupervised methods have been used for decades for classifying remote sensing images. They are pixel-based classification methods solely based on spectral information, which often result in “salt and pepper” effect in the classification result. Temporal, spectral and spatial characteristics are the basis of crop classification based on remote sensing technology. Remote sensing startup is focused on helping their customers transition to regenerative agricultural practices. The method of crop extraction by using time series image has become an important method to extract crop planting structure by making full use of the characteristics of crop seasonal rhythm. Remote sensing startup Regrow, based in Australia, is focused on helping their customers transition to regenerative agricultural practices. Using Earth Engine and advanced machine learning models, they're able to monitor 1.2B acres of land globally. GoogleEarth is a strong tool for precision agriculture. It could be used for farm planning, field mapping, soil sampling, crop scouting, crop health monitoring, variable rate applications, and yield mapping. Also, Google Earth presents a base layer of an aerial photographic image that is geo-located. Google Earth enables you to travel, explore, and learn about the world by interacting with a virtual globe. You can view satellite imagery, maps, terrain, 3D buildings, and much more. Earth Engine, on the other hand, is a tool for analyzing geospatial information.
In addition to the environmental criterion that Google Earth Engine is responsible for, the evaluation of the crop pattern includes economic and social criteria, and it should be combined with many other models in the economic and social fields to evaluate the effects of the crop pattern on Household economy and social aspects such as employment, social acceptability and social participation should be used.
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