An innovative artificial neural network model for smart crop prediction using sensory network based soil data.

ABSTRACT: A thriving agricultural system is the cornerstone of an expanding economy of agricultural countries. Farmers' crop productivity is significantly reduced when they choose the crop without considering environmental factors and soil characteristics. Crop prediction enables farmers to select crops that maximize crop yield and earnings. Accurate crop prediction is mainly concerned with agricultural research, which plays a major role in selecting accurate crops based on environmental factors and soil characteristics. Recently, recommender systems (RS) have gained much attention and are being utilized in various fields such as e-commerce, music, health, text, movies etc. Machine learning techniques can help predict the crop accurately. We proposed an innovative artificial neural network (ANN) bas

SUBMITTER: Ramzan S 

PROVIDER: S-EPMC11623066 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature