Crop Prediction Using Machine Learning
Devaki Palaniappan, Jayanthi Manoharan, Deepthi Pragalathan, Shilpashri Murugesan
Abstract
Coordinates: 1101'00.5?N 7657'20.9?E Agriculture plays the important role in human survival. In today's situation, agriculture is the most important field. Farmers often use fertilizers in random quantities. So, this affects the crop yield and causes soil acidification and damages the soil and top layer, and there may be a chance of selecting the wrong crops which will reduce their income. Our model suggests the right crop based on weather conditions by using a Support Vector Machine and Random Forest to grow in a particular farm based on parameters such as PH,(N,P,K)and the parameters such as rainfall, temperature, and humidity.
Topics & Concepts
AgricultureCrop cultivationYield (engineering)CropAgricultural engineeringDamagesSupport vector machineRandom forestEnvironmental scienceHumidityField (mathematics)Field cropMathematicsAgroforestryAgronomyComputer scienceMeteorologyMachine learningGeographyEngineeringEcologyBiologyPhysicsThermodynamicsLawPolitical sciencePure mathematicsSmart Agriculture and AI