Precision Farming Advisor
Agricultural productivity is vital for economic growth and food security, yet many farmers face challengesin optimizing crop yield due to inadequate knowledge of soil suitability, weather conditions, and pestmanagement. Traditional experience-based decision-making often leads to inefficiencies, while incorrectfertilizer use contributes to soil degradation and lower yields. Smart farming technologies, including IoTbased surveillance, AI-driven analytics, and remote sensing, provide real-time insights into soil health,weather patterns, and crop conditions, allowing farmers to make data-driven decisions for better productivityand resource efficiency. Digital advisory systems and mobile applications offer personalizedrecommendations, while blockchain enhances supply chain transparency, ensures fair pricing, and reducesexploitation. Precision agriculture optimizes water and fertilizer usage, minimizing environmental impactand improving sustainability. Automated irrigation and fertilization systems further enhance resourcemanagement, reducing waste and promoting healthier soil. Satellite monitoring and drone-basedassessments enable early detection of crop diseases and targeted interventions, preventing losses andensuring timely action. Additionally, integrating big data analytics with predictive modeling helps anticipaterisks, allowing proactive farming strategies. Government initiatives and public-private partnerships play acrucial role in funding, training, and infrastructure development, ensuring wider adoption of intelligentagricultural solutions. By leveraging technology, the agricultural sector can enhance productivity,sustainability, and resilience, addressing food security challenges and mitigating the impact of climatechange while improving farmer livelihoods and global economic stability.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-04-19
- DOI
- https://doi.org/10.5281/zenodo.15249618
- Primary Topic
- Smart Agriculture and AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00