@article{1484412,
      author = {Zhang, Man, and Li, Han, and Sheng, Wenyi, and Qiu,  Ruicheng, and Zhang, Zhao,},
      url = {http://library.usi.edu/record/1484412},
      title = {Sensing technologies for field and in-house crop  production : technology review and case studies /},
      abstract = {This book focuses on state-of-the-art sensing and  automation technologies for field crops and in-house  product production and provides a lot of innovative  knowledge on image processing, AI algorithms and  applications in agriculture, and robotics. This book  provides undergraduate or graduate students with take-away  knowledge for unmanned agricultural production, including  but not limited to corn disease detection, wheat head  detection and counting, and soil nutrient condition  monitoring. The first three chapters focus on reviewing  plant phenotyping sensing technology and robotics and soil  nutrient monitoring, followed by in-house crop sensing  robotics. Then two case studies on corn and the other two  case studies on wheat are presented.},
      doi = {https://doi.org/10.1007/978-981-99-7927-1},
      recid = {1484412},
      pages = {1 online resource (vii, 136 pages) :},
}