播种
农业
精准农业
机器人
农业工程
农学
农林复合经营
计算机科学
工程类
人工智能
生物
生态学
作者
Yogita Gulabrao Thite -,Ashish Prakash
出处
期刊:International Journal For Multidisciplinary Research
[International Journal for Multidisciplinary Research (IJFMR)]
日期:2025-01-16
卷期号:7 (1)
标识
DOI:10.36948/ijfmr.2025.v07i01.34132
摘要
This review explores advancements in precision agriculture, focusing on automated systems for seed sowing, replanting, and disease detection to enhance sustainable farming practices. By integrating technologies such as robotic automation, sensors, image processing, and real-time communication, these systems address critical agricultural challenges, including labor shortages, resource optimization, and crop health monitoring. Key innovations include precise seed placement, automated replanting in detected gaps, and disease identification using machine learning and image analysis. These technologies empower farmers with actionable insights, reduce resource wastage, and improve crop yield, contributing to the future of sustainable and intelligent farming solutions.
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