DECISION MAKING SYSTEM FOR CROP-LIVESTOCK FARMS USING MACHINE LEARNING ALGORITHMS

摘要

#$%^&*AU2020100954A420200716.pdf#####DECISION MAKING SYSTEM FOR CROP-LIVESTOCK FARMS USING MACHINE LEARNING ALGORITHMS Abstract: The machine learning have augmenting with decision making innovations and performance calculation to make modern opportunities used for information seriously science within the different disciplinary Agri-technologies. We display a comprehensive show for crop-livestock farms to commit the claim of machine learning in agricultural fabrication systems. Analysis is conducted and demonstration were sent in (a) crop management, counting purpose on yield forecast, disease discovery, weed detection crop quality, and species acknowledgment; (b) livestock management, counting applications on creature welfare and livestock production; (c) soil management; and (d) water management. The examined and classification of the decision-making framework for croplivestock is illustrate how farming will advantage from the machine learning advances. Machine learning algorithm to applying for sensor information, cultivate management frameworks are developing into genuine time and forged impending authorized programs that give wealthy counsel and approaching for farmer decision support and action. 11PageDECISION MAKING SYSTEM FOR CROP-LIVESTOCK FARMS USING MACHINE LEARNING ALGORITHMS Machine Learning in Agriculture Supply Chain Group|| GroupIII Production Phase Processing Phase Weather Disease Demand Production Prediction Prediction Mgmt Planning Weed Livestock Quality Prediction Mgmt Mgmt Nutrient Crop Mgmt Harvest Fig2: Machine Learning Monitoring and Controlling