Survey on Optimal Crop Prediction using Soil and Weather Analysis

Author:

Manjunath N 1,Bharatkumar S S 1,Spoorthi R B 1,Chinmayi N J 1,Tejashwini C 1

Affiliation:

1. Vidya Vikas Institute of Engineering and Technology, Mysuru, Karnataka, India

Abstract

This survey paper provides a comprehensive overview of methodologies, technologies, and approaches for analyzing soil environments to optimize crop production. It covers traditional soil sampling, advanced techniques like remote sensing, and real-time monitoring using sensor networks. The integration of sensor data with IoT and machine learning for decision support is explored. Soil health assessment and site-specific management strategies enabled by precision agriculture are emphasized. Challenges such as data integration and sensor accuracy are addressed, along with future research directions including low-cost sensing solutions and improved data analytics. Overall, the paper serves as a valuable resource for optimizing crop production sustainably, contributing to efficient agricultural practices in a changing climate

Publisher

Naksh Solutions

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