[HTML][HTML] Agricultural decision system based on advanced machine learning models for yield prediction: Case of East African countries

R Aworka, LS Cedric, WYH Adoni, JT Zoueu… - Smart Agricultural …, 2022 - Elsevier
Food security has become a real challenge for some organizations in charge of the food
program and for the majority of countries, especially African countries. The United Nations …

[HTML][HTML] Crops yield prediction based on machine learning models: Case of West African countries

LS Cedric, WYH Adoni, R Aworka, JT Zoueu… - Smart Agricultural …, 2022 - Elsevier
Global agricultural production, in particular, is of increasing concern to the major
international organizations in charge of nutrition. The rising demand for food globally due to …

Crop prediction model using machine learning algorithms

E Elbasi, C Zaki, AE Topcu, W Abdelbaki, AI Zreikat… - Applied Sciences, 2023 - mdpi.com
Machine learning applications are having a great impact on the global economy by
transforming the data processing method and decision making. Agriculture is one of the …

Crop yield prediction using machine learning models: Case of Irish potato and maize

M Kuradusenge, E Hitimana, D Hanyurwimfura… - Agriculture, 2023 - mdpi.com
Although agriculture remains the dominant economic activity in many countries around the
world, in recent years this sector has continued to be negatively impacted by climate change …

Crop Yield Forecasting with Precise Machine Learning

S Verma, S Sinha, P Chaudhury, S Mishra… - International Conference …, 2023 - Springer
In India, the impact of global weather variation has severely impacted the majority of
agricultural products. Farmer decision-making will be aided by this research, which will …

Forecasting yield by integrating agrarian factors and machine learning models: A survey

D Elavarasan, DR Vincent, V Sharma… - … and electronics in …, 2018 - Elsevier
The advancement in science and technology has led to a substantial amount of data from
various fields of agriculture to be incremented in the public domain. Hence a desideratum …

Performance evaluation of best feature subsets for crop yield prediction using machine learning algorithms

MG PS - Applied Artificial Intelligence, 2019 - Taylor & Francis
The rapid innovations and liberalized market economy in agriculture demand accuracy in
Crop Yield Prediction (CYP). In accurate prediction, machine learning (ML) algorithms and …

[PDF][PDF] Crop yield prediction using machine learning

M Champaneri, D Chachpara… - …, 2016 - svv-research-data.s3.ap-south-1 …
The impact of climate change in India, most of the agricultural crops are being badly affected
in terms of their performance over a period of the last two decades. Predicting the crop yield …

Predicting agriculture yields based on machine learning using regression and deep learning

P Sharma, P Dadheech, N Aneja, S Aneja - IEEE Access, 2023 - ieeexplore.ieee.org
Agriculture contributes a significant amount to the economy of India due to the dependence
on human beings for their survival. The main obstacle to food security is population …

A machine learning-based comparative approach to predict the crop yield using supervised learning with regression models

B Panigrahi, KCR Kathala, M Sujatha - Procedia Computer Science, 2023 - Elsevier
Agriculture is essential for the existence of all human beings. It is not only a need, but it also
contributes to national growth. Agriculture is the only industry that benefits both itself and the …