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 prediction based on characteristics of the agricultural environment using various feature selection techniques and classifiers

SP Raja, B Sawicka, Z Stamenkovic… - IEEE Access, 2022 - ieeexplore.ieee.org
Agriculture is a growing field of research. In particular, crop prediction in agriculture is critical
and is chiefly contingent upon soil and environment conditions, including rainfall, humidity …

Machine learning applications for precision agriculture: A comprehensive review

A Sharma, A Jain, P Gupta, V Chowdary - IEEE Access, 2020 - ieeexplore.ieee.org
Agriculture plays a vital role in the economic growth of any country. With the increase of
population, frequent changes in climatic conditions and limited resources, it becomes a …

Impact of machine learning techniques in precision agriculture

R Katarya, A Raturi, A Mehndiratta… - 2020 3rd International …, 2020 - ieeexplore.ieee.org
Agriculture and its accessories contribute to approximately 17% of India's GDP and it is still
the most popular occupation amongst 70% of India's population. The agriculture sector …

[PDF][PDF] Crop prediction system using machine learning algorithms

P Patil, V Panpatil, S Kokate - Int. Res. J. Eng. Technol.(IRJET), 2020 - academia.edu
As we are aware of the fact that, most of Indians have agriculture as their occupation.
Farmers usually have the mindset of planting the same crop, using more fertilizers and …

[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 …

Machine learning in agriculture: a review of crop management applications

I Attri, LK Awasthi, TP Sharma - Multimedia Tools and Applications, 2024 - Springer
Abstract Machine learning has created new opportunities for data-intensive study in
interdisciplinary domains as a result of the advancement of big data technologies and high …

Machine learning in agriculture: A review

KG Liakos, P Busato, D Moshou, S Pearson, D Bochtis - Sensors, 2018 - mdpi.com
Machine learning has emerged with big data technologies and high-performance computing
to create new opportunities for data intensive science in the multi-disciplinary agri …

Machine learning in precision agriculture: a survey on trends, applications and evaluations over two decades

S Condran, M Bewong, MZ Islam, L Maphosa… - IEEE …, 2022 - ieeexplore.ieee.org
Precision agriculture represents the new age of conventional agriculture. This is made
possible by the advancement of various modern technologies such as the internet of things …

Machine learning in agriculture: A comprehensive updated review

L Benos, AC Tagarakis, G Dolias, R Berruto, D Kateris… - Sensors, 2021 - mdpi.com
The digital transformation of agriculture has evolved various aspects of management into
artificial intelligent systems for the sake of making value from the ever-increasing data …