Agriculture plays a pivotal role in satisfying the basic needs for food. Precision agriculture rapidly advances the farm management strategy that transforms farming practices by optimizing agricultural inputs to enhance production and minimize overall losses. These advancements provide farmers with more stable and reliable sources of income. However, as the awareness of environmental impact grows, new technologies focus on mitigating these adverse effects. Modern innovations such as Artificial Intelligence (AI), Internet of Things (IoT), and Machine Learning (ML) can be utilized to make management decisions that enhance crop production efficiently. Recently, remote sensing has emerged as a crucial tool for detecting various issues within the agricultural ecosystem, including pest and disease monitoring, nutrient deficiencies, pollution, irrigation management, and yield estimation. Different types of airborne and satellite imagery captured throughout the growing season can be utilized not only for early detection but also for managing various agricultural parameters.

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Remote Sensing Applications for Precision Farming

  • Nikhil Kumar,
  • Subhrajyoti Bhattacharjee,
  • Sanhita Chowdhury,
  • Shipra Yadav,
  • Shreya Singh,
  • Avantika Pandey,
  • Vinod Kumar Dubey

摘要

Agriculture plays a pivotal role in satisfying the basic needs for food. Precision agriculture rapidly advances the farm management strategy that transforms farming practices by optimizing agricultural inputs to enhance production and minimize overall losses. These advancements provide farmers with more stable and reliable sources of income. However, as the awareness of environmental impact grows, new technologies focus on mitigating these adverse effects. Modern innovations such as Artificial Intelligence (AI), Internet of Things (IoT), and Machine Learning (ML) can be utilized to make management decisions that enhance crop production efficiently. Recently, remote sensing has emerged as a crucial tool for detecting various issues within the agricultural ecosystem, including pest and disease monitoring, nutrient deficiencies, pollution, irrigation management, and yield estimation. Different types of airborne and satellite imagery captured throughout the growing season can be utilized not only for early detection but also for managing various agricultural parameters.