Agriculture is one of the major revenue producing sectors of India and a source of survival. Numerous seasonal, economic and biological patterns influence the crop production but unpredictable changes in these patterns lead to a great loss to farmers. These risks can be reduced when suitable approaches are employed on data related to soil type, temperature, atmospheric pressure, humidity and crop type. Whereas, crop and weather forecasting can be predicted by deriving useful insights from these agricultural data that aids farmers to decide on the crop they would like to plant for the forthcoming year leading to maximum profit. This paper presents a survey on the various algorithms used for weather, crop yield, and crop cost prediction. Project Link: https://www.pantechelearning.com/machine-learning-projects/smart-farming-machine-learning-python/ ------------------------------------------------------------------------------- Pantech E Learning - Exclusive R & D for Project Assistance & Technical Trainings. For more updates on our Project Assistance, Certified Training, Internship & courses, follow us on: - Website: www.pantechelearning.com www.facebook.com/pantechelearning www.instagram.com/pantechelearning www.linkedin.com/company/pantechelearning www.twitter.com/pantech_elearn Have any Enquiry ? Online Store - 8925533488 / 89 Chennai - 8925533480 / 81 Hyderabad - 8925533482 / 83 Vijayawada -8925533484 /85 Coimbatore - 8925533486 / 87 #pantechprojects#pythonprojects#IEEEprojects#machinelearningprojects