Matches in SemOpenAlex for { <https://semopenalex.org/work/W4307515154> ?p ?o ?g. }
Showing items 1 to 94 of
94
with 100 items per page.
- W4307515154 endingPage "458" @default.
- W4307515154 startingPage "446" @default.
- W4307515154 abstract "Background/Purpose: Machine learning in today’s world is the driving mechanism for achieving sustainable agriculture. A study of existing literature on applying Machine learning in the agriculture sector and the impact of these methods on the Indian agriculture sector is presented in this paper. Based on the agriculture market and analysis of agriculture trends using Machine Learning and also government initiatives to support Artificial Intelligence-powered agriculture in India, the strengths, weaknesses, opportunities, and challenges are identified and a broader analysis is given in this paper. Design/Methodology/Approach: The data required for this study on the adoption of Machine learning solutions in the agriculture sector of India are collected from secondary resources including scholarly publications, research articles, web reports, and government websites. The qualitative research method is adopted in conducting the study. Findings/Result: The study has given insights into various machine learning methods and their applications in the agriculture domain. The knowledge-based agriculture practices could improve overall agriculture productivity. The facts and figures explored during the study of Indian agriculture are analyzed and it is seen that predictive analytics using Machine Learning has great potential in making significant advances in agricultural production. Research limitations/implications: Machine Learning approaches can be adopted in all the allied sectors of agriculture. The study is limited to improvising farming practices using machine learning methods for better productivity and contributing to the growth of the Indian economy. Originality/Value: This paper presents a study of the Indian agriculture sector and the scope of incorporating data-driven approaches using machine learning algorithms that help in supporting the growth of the industry. Paper Type: A case study" @default.
- W4307515154 created "2022-11-02" @default.
- W4307515154 creator A5000097663 @default.
- W4307515154 creator A5078576781 @default.
- W4307515154 date "2022-10-27" @default.
- W4307515154 modified "2023-09-30" @default.
- W4307515154 title "Impact of Adopting Machine Learning Methods on Indian Agriculture Industry- A Case Study" @default.
- W4307515154 cites W1901616594 @default.
- W4307515154 cites W2804119363 @default.
- W4307515154 cites W2885770726 @default.
- W4307515154 cites W2950944546 @default.
- W4307515154 cites W2995982049 @default.
- W4307515154 cites W3024717699 @default.
- W4307515154 cites W3092178950 @default.
- W4307515154 cites W3096212062 @default.
- W4307515154 cites W3113689021 @default.
- W4307515154 cites W3121188342 @default.
- W4307515154 cites W3123413070 @default.
- W4307515154 cites W3139727712 @default.
- W4307515154 cites W3142740975 @default.
- W4307515154 cites W3155966371 @default.
- W4307515154 cites W3165319944 @default.
- W4307515154 cites W3167125732 @default.
- W4307515154 cites W3187059187 @default.
- W4307515154 cites W3189663779 @default.
- W4307515154 cites W3201835768 @default.
- W4307515154 cites W4210480843 @default.
- W4307515154 cites W4220745598 @default.
- W4307515154 cites W4252560462 @default.
- W4307515154 doi "https://doi.org/10.47992/ijcsbe.2581.6942.0208" @default.
- W4307515154 hasPublicationYear "2022" @default.
- W4307515154 type Work @default.
- W4307515154 citedByCount "0" @default.
- W4307515154 crossrefType "journal-article" @default.
- W4307515154 hasAuthorship W4307515154A5000097663 @default.
- W4307515154 hasAuthorship W4307515154A5078576781 @default.
- W4307515154 hasBestOaLocation W43075151541 @default.
- W4307515154 hasConcept C118518473 @default.
- W4307515154 hasConcept C119857082 @default.
- W4307515154 hasConcept C127413603 @default.
- W4307515154 hasConcept C138885662 @default.
- W4307515154 hasConcept C144024400 @default.
- W4307515154 hasConcept C144133560 @default.
- W4307515154 hasConcept C154945302 @default.
- W4307515154 hasConcept C162324750 @default.
- W4307515154 hasConcept C166957645 @default.
- W4307515154 hasConcept C190248442 @default.
- W4307515154 hasConcept C204983608 @default.
- W4307515154 hasConcept C205649164 @default.
- W4307515154 hasConcept C2776950860 @default.
- W4307515154 hasConcept C2778137410 @default.
- W4307515154 hasConcept C36289849 @default.
- W4307515154 hasConcept C41008148 @default.
- W4307515154 hasConcept C41895202 @default.
- W4307515154 hasConcept C50522688 @default.
- W4307515154 hasConcept C56739046 @default.
- W4307515154 hasConceptScore W4307515154C118518473 @default.
- W4307515154 hasConceptScore W4307515154C119857082 @default.
- W4307515154 hasConceptScore W4307515154C127413603 @default.
- W4307515154 hasConceptScore W4307515154C138885662 @default.
- W4307515154 hasConceptScore W4307515154C144024400 @default.
- W4307515154 hasConceptScore W4307515154C144133560 @default.
- W4307515154 hasConceptScore W4307515154C154945302 @default.
- W4307515154 hasConceptScore W4307515154C162324750 @default.
- W4307515154 hasConceptScore W4307515154C166957645 @default.
- W4307515154 hasConceptScore W4307515154C190248442 @default.
- W4307515154 hasConceptScore W4307515154C204983608 @default.
- W4307515154 hasConceptScore W4307515154C205649164 @default.
- W4307515154 hasConceptScore W4307515154C2776950860 @default.
- W4307515154 hasConceptScore W4307515154C2778137410 @default.
- W4307515154 hasConceptScore W4307515154C36289849 @default.
- W4307515154 hasConceptScore W4307515154C41008148 @default.
- W4307515154 hasConceptScore W4307515154C41895202 @default.
- W4307515154 hasConceptScore W4307515154C50522688 @default.
- W4307515154 hasConceptScore W4307515154C56739046 @default.
- W4307515154 hasLocation W43075151541 @default.
- W4307515154 hasLocation W43075151542 @default.
- W4307515154 hasOpenAccess W4307515154 @default.
- W4307515154 hasPrimaryLocation W43075151541 @default.
- W4307515154 hasRelatedWork W2899084033 @default.
- W4307515154 hasRelatedWork W2961085424 @default.
- W4307515154 hasRelatedWork W3046775127 @default.
- W4307515154 hasRelatedWork W3124893756 @default.
- W4307515154 hasRelatedWork W3170094116 @default.
- W4307515154 hasRelatedWork W4285260836 @default.
- W4307515154 hasRelatedWork W4286629047 @default.
- W4307515154 hasRelatedWork W4306321456 @default.
- W4307515154 hasRelatedWork W4306674287 @default.
- W4307515154 hasRelatedWork W4224009465 @default.
- W4307515154 isParatext "false" @default.
- W4307515154 isRetracted "false" @default.
- W4307515154 workType "article" @default.