India is one among the well-known countries whose socio-economic status is dates by agriculture. The rise of sedentary human civilization is the key role achieved in the development of agricultural ...

To predict crop-yield which can be extremely useful to farmers in planning for harvest and sale of grain harvest. To implement a machine learning algorithm that gives better prediction of suitable ...

The time-tested technique for predicting numbers, and the role of domain knowledge in machine learning.

The "Crop Yield Prediction using Machine Learning" project forecasts agricultural yields by analyzing historical data on crop type, weather, soil quality, and farming practices. It helps farmers ...

Agriculture is the backbone of any country. Totally 58% of the population is dependent on agriculture, in 48% is directly dependent on it. India is one of the agricultural countries, its economy is ...

In the report by Girish [13] and Nischitha [14] , the authors use the predictive analysis carried out by using various machine learning algorithms like linear regression, Support Vector Machine (SVM), ...

The goal of a machine learning regression problem is to predict a single numeric value. For example, you might want to predict the price of a house based on its square footage, number of bedrooms, ...

Keywords: machine learning, crop simulation model, wheat, sunflower, DSSAT, neural network Citation: Morales A and Villalobos FJ (2023) Using machine learning for crop yield prediction in the past or ...