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Predicting the yield of agricultural crops

INTERNATIONAL AGRICULTURAL JOURNAL
One of the most promising areas in crop yield forecasting is the use of time series (time series) value analysis methods, which make it possible to analyze the historical dynamics of crop production in the Krasnodar Territory and identify stable trends and cyclical fluctuations. Based on the identified irregularities, it is possible to build short- and
Andrey Kukharenko   +2 more
openaire   +1 more source

A Machine Learning Approach for Crop Prediction and Crop Yield Prediction

2021
Agriculture is the major source of food supply for the man-kind. In the light of decreasing crop production currently, deciding the right crop for the harvestable land has become the crucial criteria of agriculture. Therefore, we have pro-posed a method which helps in suggesting the most suitable crop for a specific land and predict its yield based on ...
Patel, M. N. Charish   +4 more
openaire   +1 more source

Crop-Yield Prediction and Crop Recommendation System

SSRN Electronic Journal, 2022
Dishant Israni   +4 more
openaire   +1 more source

AI Based Crop Yield Prediction

International Journal of Innovative Science and Research Technology
Agricultural productivity has a key role in ensuring food availability, promoting economic resilience, and supporting the long-term well-being of rural communities. This work focuses on harnessing machine learning to better crop production prediction by assessing critical agricultural characteristics like precipitation, temperature, humidity, pH, and ...
Shital Sapkal   +3 more
openaire   +1 more source

Evaluation of an Ensemble Technique for Prediction of Crop Yield

Proceedings of the 5th International Conference on Information Management & Machine Intelligence, 2023
Sankareswari K, Sujatha G
openaire   +1 more source

Crop Yield Estimation and Prediction

2023
Haiyan Cen, Liang Wan
openaire   +1 more source

Crop Yield Prediction and Recommendation System

2022 IEEE Pune Section International Conference (PuneCon), 2022
Sagar Raskar   +3 more
openaire   +1 more source

Deep learning for crop yield prediction: a systematic literature review

New Zealand Journal of Crop and Horticultural Science, 2023
Cagatay Caṫal, Ayalew Kassahun
exaly  

Crop yield prediction using machine learning: A systematic literature review

Computers and Electronics in Agriculture, 2020
Ayalew Kassahun, Cagatay Caṫal
exaly  

Spatial prediction of agricultural crop yield

2010
The aim of this paper is to present a method for the spatial prediction of agricultural crop yield. This estimation represents an essential issue in the definition of the economic policy of a country. Agricultural data are usually represented by spatially distributed observations and the corresponding statistical analysis is often based on the ...
POSTIGLIONE, PAOLO   +2 more
openaire   +1 more source

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