Key issues in incorporating proximal and remote sensor data into farm decision-making
Smart farms: Improving data-driven decision making in agriculture Burleigh Dodds Series in Agricultural Science(2024)
摘要
This chapter presents five study cases on the application of smart technologies in farming and forestry systems. The first of these study cases presents the results of a long-term study to calibrate a Grassmaster II capacitance probe to estimate pasture productivity in the Mediterranean Montado ecosystem. The second case study presents a methodology for identifying yield zones within an olive grove based on Sentinel-2 satellite data. The third case study provides an overview of different remote sensing sensors, data and methodologies used for estimating forest biomass. The fourth case study assesses the carbon footprint of horticultural crops such as potato, onion, carrot, melon and watermelon. The final case study focuses on precision livestock farming, specifically a mobile application focused on thermal comfort.
更多查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要