Agrivision: AI-Enhanced Yield Prediction and Smart Crop Recommendation

Abstract: Agrivision: AI-Enhanced Yield Prediction and Smart Crop Recommendation is an innovative platform that transforms modern agriculture using advanced data analytics and artificial intelligence. By integrating historical crop data, satellite imagery, soil analysis, and real-time environmental inputs, the system provides precise yield predictions. Machine learning algorithms are employed to recommend the most suitable crops based on specific geographic and soil conditions, empowering farmers to maximize productivity and profitability. Agrivision fosters precision farming by offering insights into resourceefficient practices and market trends, promoting sustainable decision-making. Accessible via mobile and web platforms, the solution is inclusive, scalable, and designed to meet the needs of farmers. It reduces agricultural risks, enhances resource management, and supports sustainability, fostering economic resilience in the agricultural sector.

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Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2024-12-21
DOI
https://doi.org/10.22214/ijraset.2024.65997
Citations
1
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
0.60
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Agrivision: AI-Enhanced Yield Prediction and Smart Crop Recommendation

Shweta Shambhavi, Ayesha Siddiqa, G Shreya, Umme Hani et al.
1 citations
International Journal for Research in Applied Science and Engineering Technology
Smart Agriculture and AI
0.60
article

Agrivision: AI-Enhanced Yield Prediction and Smart Crop Recommendation

Shweta Shambhavi, Ayesha Siddiqa, G Shreya, Umme Hani, S K Varshaa
article en
1 citations

Abstract

Abstract: Agrivision: AI-Enhanced Yield Prediction and Smart Crop Recommendation is an innovative platform that transforms modern agriculture using advanced data analytics and artificial intelligence. By integrating historical crop data, satellite imagery, soil analysis, and real-time environmental inputs, the system provides precise yield predictions. Machine learning algorithms are employed to recommend the most suitable crops based on specific geographic and soil conditions, empowering farmers to maximize productivity and profitability. Agrivision fosters precision farming by offering insights into resourceefficient practices and market trends, promoting sustainable decision-making. Accessible via mobile and web platforms, the solution is inclusive, scalable, and designed to meet the needs of farmers. It reduces agricultural risks, enhances resource management, and supports sustainability, fostering economic resilience in the agricultural sector.

International Journal for Research in Applied Science and Engineering TechnologyVol. 12(12)
Jawaharlal Nehru University (IN), Jawaharlal Nehru Medical College (IN)
Openalex Percentile: Top 20%
Smart Agriculture and AI
0.60
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