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Orissa University of Agriculture and Technology, India.Institute of Environment and Sustainable Development, Banaras Hindu University, India.Institute of Agriculture Sciences, Banaras Hindu University, India.Sri Karan Narendra Agriculture University, India.ICAR-Central Agroforestry Research Institute, India.ICAR-Indian Grassland and Fodder Research Institute, India.Swaminathan School of Agriculture, Centurion University of Technology and Management, Paralakhemundi, India

College of Agriculture, Nagur, Agriculture University, India.Then at the end we will focus on the ANLP reducing strategies such as new light policy, advanced lightening technology such as remote sensing and lightening utilisation optimisation. Further, we will explore the details mechanisms of plant biorhythm and eco-physiological processes under artificial light at night and how this mechanism can be a global threat. To keep in mind the effect of artificial light at night on plant biorhythm and eco-physiological processes, this chapter will focus on the status of global artificial night light pollution and the responsible factors. Similarly, the crucial plant processes such as pollination, flowering, and yield determining processes are controlled by the diurnal cycle and ALAN affects these processes and ultimately hampers the plant fitness and development. Plant biorhythms mostly diurnal rhythms such as stomatal movements, photosynthetic activity, and many more metabolic processes are under the control of period of light and dark, which are crucially affected by artificial light at night. This pollution has cause for serious problem in plants as it affects their processes and functions which are under the control of light or diurnal cycle. However, due to urbanization, and human development activities lot of excess light generated in environment during night time and responsible for anthropogenic generated pollution (ALAN artificial night light pollution). Light is crucial environmental factor for primary resource and signalling in plants and provide optimum fitness under fluctuating environments from millions of year.