The primary purpose of this review is to evaluate the effectiveness of machine learning (ML) algorithms in conjunction with IoT technologies in the development of advanced crop recommendation systems, which are aimed at enhancing the sustainability and productivity of India's agricultural sector under ...
Integrated Iot Approaches for Crop Recommendation and Yield-Prediction Using Machine-LearningIn this study, we present an integrated approach utilizing IoT data... M Bouni,B Hssina,K Douzi,... 被引量: 0发表: 2024年 Prediction of crop yield using satellite vegetation indices combined with Machine...
“It’s turning that information into a recommendation without having to go through five years of trial work on farm,” explains Scott Kay, vice president of BASF. Jacobs says these field-level recommendations work in concert with ongoing research aimed at delivering better results to farmers....
Crop-Yield Prediction and Crop Recommendation System Crop Yield Prediction, Forecasting and Fertilizer Recommendation using Voting Based Ensemble ClassifierAgriculture is the keystone of a developing country such as India. For the revenue, the majority of their population depends on agriculture... D Isran...
the value of machine learning to let data scientists use well-known models to bridge the gap where a mechanistic model is not yet understood for certain phenomena, Maura offered this recommendation to other developers: “Intel DevCloud is a great space to work on your machine learning project...
To achieve this, we trained and examined seven machine learning models, Decision tree, Naive Bayes, SVM, Logistic Regression, Random Forest, XGBoost, and KNN. Among these, Random forest gives the highest accuracy, making it the best choice for crop forecasting. In addition to crop recommendation...
This problem is addressed in this paper by proposing a recommendation system using an ensemble model with majority voting and an accuracy of 99.4 percent. 展开 关键词: Crop recommendation Machine learning Ensemble model Voting classifier Recommendation system ...
Prediction Model of Dry Fertilizer Crushing Force Based on P-DE-SVM 2021, ACS Omega Crop Recommendation by Analysing the Soil Nutrients Using Machine Learning Techniques: A Study 2021, IFIP Advances in Information and Communication Technology©...
For instance, in crop water stress detection using TIR data, the typical recommendation is to acquire TIR data in the early afternoon around solar noon (Fig. 3). In case not all sensors fit on one platform, the sensors need to be flown separately, which thus requires defining an acceptable...
Several deep learning models have be... CH Chang,J Lin,JW Chang,... - Agriculture; Basel 被引量: 0发表: 2024年 Effectiveness of Crop Recommendation and Yield Prediction using Hybrid Moth Flame Optimization with Machine Learning Agriculture is the main source of income, food, employment, and ...