In this chapter discussed about the system design in which the diagram , architecture diagram, uml diagrams. this gives the detail clarity of the design in which helps to understand the process of the system.
This work presents a system, in a form of a website, which uses Machine Learning techniques in order to predict the most profitable crop in the current weather and soil conditions. This system can also help in predicting the yield of the crop using weather parameter, soil parameter and historic crop yield.
The overall Architecture diagram for the proposed system is shown in Fig 4.1. The proposed work is split into different processing phases namely Soil Classification, Suitable Crop Suggestion and Best Crop Prediction.
In this paper they gone through a different machine learning approaches for the prediction of rainfall and crop yield and also mention the efficiency of a different machine learning algorithm like liner regression, SVM, KNN method and decision tree.
Overall architecture of our crop yield prediction system
Aworka et al. [11] suggested three machine learning techniques for crop prediction: Random Forest, Gradient Boosting Machine, and Support Vector Machine. Their experimental results reveal...
Crop Prediction Model Using Machine Learning Algorithms - MDPI
Aug 16, 2023 · This research investigates the potential benefits of integrating machine learning algorithms in modern agriculture. The main focus of these algorithms is to help optimize crop production and reduce waste through informed decisions regarding planting, watering, and harvesting crops.
Crop yield prediction incorporates forecasting the yield of the crop from past historical data which includes factors such as temperature, relative humidity, ph., rainfall and area (Hectares).
Crop yield prediction using machine learning: A systematic …
Oct 1, 2020 · Several machine learning algorithms have been applied to support crop yield prediction research. In this study, we performed a Systematic Literature Review (SLR) to extract and synthesize the algorithms and features that have been used in crop yield prediction studies.
Architecture diagram of crop yield prediction - ResearchGate
Suggesting appropriate crop recommendations using machine and deep learning by estimating crop yield by using time series analysis will reduce food insufficiency in the future.
The general architecture of machine learning-based crop yield ...
Crop yield predictions are carried out to estimate higher crop yield through the use of machine learning algorit... ... machine learning-based crop yield prediction method...