Abstract
Abstract: The agriculture industry is essential to maintaining human existence and guaranteeing the availability of food worldwide. As the global population continues to rise, there is an urgent need for novel technology that will improve agricultural efficiency and output. The "Intelligent Firmament" is a cutting-edge system that combines machine learning methods for crop classification with individualized recommendations to transform agriculture. Utilizing proficient machine learning algorithms, the system categorizes crops according to meteorological conditions, soil properties, and satellite photos. The Crop Classification Module is the first part of the Intelligent Firmament. This module extracts useful data about crop varieties, development stages, and general health by analyzing high-resolution satellite photos using deep learning models. To deliver dynamic recommendations, the Intelligent Firmament also makes use of climate models and real-time weather forecasts. The system can adjust and recommend appropriate crops that are in line with expected environmental conditions favorably to machine learning models that have been trained on past weather data to predict future climate trends. By taking a proactive stance, farmers may reduce the hazards brought on by erratic weather patterns and adjust their farming methods as necessary. The Intelligent Firmament, which uses machine learning to classify crops and provide customized recommendations, is a paradigm change in agriculture
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
More From: International Journal for Research in Applied Science and Engineering Technology
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.