[Retracted] Implementing Machine Learning for Smart Farming to Forecast Farmers' Interest in Hiring Equipment

M Rakhra, S Sanober, NN Quadri… - Journal of Food …, 2022 - Wiley Online Library
Farmers' physical labor and debt are reduced as a result of agricultural automation, which
emphasizes efficient and effective use of various machines in farming operations with the …

[Retracted] Implementing Machine Learning for Supply‐Demand Shifts and Price Impacts in Farmer Market for Tool and Equipment Sharing

M Rakhra, A Bhargava, D Bhargava… - Journal of Food …, 2022 - Wiley Online Library
Several industries have recently seen the replacement of human labor by automated
machinery and equipment. Across the globe, farmers' attitudes on the use of technology in …

Smart farming prediction models for precision agriculture: a comprehensive survey

DK Kwaghtyo, CI Eke - Artificial Intelligence Review, 2023 - Springer
Considering the variability of the farming resources such as soil, fertilizer and weather
conditions including crops. Proper utilization of these resources for high yield is paramount …

Machine learning-based optimal crop selection system in smart agriculture

S Rani, AK Mishra, A Kataria, S Mallik, H Qin - Scientific Reports, 2023 - nature.com
The cultivation of most crops depends upon the regional weather conditions. So, the
analysis of the agro-climatic conditions of a zone contributes significantly to deciding the …

Metaheuristic and Machine Learning‐Based Smart Engine for Renting and Sharing of Agriculture Equipment

M Rakhra, R Singh, TK Lohani… - … Problems in Engineering, 2021 - Wiley Online Library
Recently, many companies have substituted human labor with robotics. Some farmers are
sharing different perspectives on the incorporation of technology into farming techniques …

[HTML][HTML] Smart farming using machine learning and deep learning techniques

SKS Durai, MD Shamili - Decision Analytics Journal, 2022 - Elsevier
The practice of cultivating the soil, producing crops, and keeping livestock is referred to as
farming. Agriculture is critical to a country's economic development. Nearly 58 percent of a …

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 …

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 …

Towards leveraging the role of machine learning and artificial intelligence in precision agriculture and smart farming

TA Shaikh, T Rasool, FR Lone - Computers and Electronics in Agriculture, 2022 - Elsevier
The digitalization of data has resulted in a data tsunami in practically every industry of data-
driven enterprise. Furthermore, man-to-machine (M2M) digital data handling has …

[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 …