Science direct: The search string is [“machine learning” AND “yield prediction”] (Title, abstract, keywords) and [((“machine learning” OR “artificial intelligence”) AND “data mining” AND (“yield prediction” OR “yield forecasting” OR “yield estimation”))](Title, abstract, keywor...
The recent area of interest for computer scientists and data analysts working on precision farming has been the use of machine learning and deep learning algorithms to recommend crops to the farmers and predict yield. Improving crop yields not only helps farmers but also seeks to address global ...
Review of crop yield estimation using machine learning and deep learning techniques Scalable Computing, 23 (2) (2022), pp. 59-79, 10.12694/scpe.v23i2.2025 View in ScopusGoogle Scholar [2] N. Goel, S. Kaur, Y. Kumar Chapter 23 - machine learning-based remote monitoring and predictive ana...
Crop yield prediction plays an essential role in agricultural planning and decision-making. The present research offers a comprehensive study into the use of machine learning algorithms for agricultural production prediction based on a variety of fertilizers consumption and area production of various crops...
Crop Yield Progress Prediction System using Machine Learning The project entitled "Crop yield progress prediction system using machine learning" is used to detect crop species and crop pests using machine learning. A... N Abinaya.,A Ganamonicham - 《Ciit International Journal of Artificial Intelligen...
Two prediction models have been proposed in this research work to predict the crop yield accurately. The first model is a machine learning-based model which uses the CatBoost regression model and its hyperparameters are tuned which improves the performance of the yield prediction using the Optuna ...
Sweet corn yield prediction using machine learning models and field-level data The advent of modern technologies, acquisition of large amounts of crop management and weather data, and advances in computing are reshaping modern agricul... DS Dhaliwal,MM Williams - 《Precision Agriculture》 被引量: ...
can boost crop production and quality: First evidence from increased plant biomass, fruit yield and phytomedicine content in bitter melon (Momordica charantia... C Ran,TA Ratnikova,MB Stone,... - 《Small》 被引量: 210发表: 2010年 Nanobiotechnology can boost crop production and quality: first ...
Using Multivariate Imputation by Chained Equations (MICE) to tackle data restrictions, we gauge wheat production for 2014-2024 and forecast the 2025 yield using machine learning regression models. Once again, using hyper parameter tuning with K-fold cross-validation, Support Vector Regressor (SVR) ...
Crop yield prediction in agriculture: A comprehensive review of machine learning and deep learning approaches, with insights for future research and sustai... Machine learningDeep learningThe agriculture sector is confronted with numerous challenges in the quest for accurate crop yield estimation, which...