The fast growing demands and increasing awareness for the environment, PV systems are being rapidly installed for numerous applications.However, one of the important challenges in utilizing a PV source is the maximum ...The fast growing demands and increasing awareness for the environment, PV systems are being rapidly installed for numerous applications.However, one of the important challenges in utilizing a PV source is the maximum power harnessing using various maximum power point tracking techniques available. With the large number of MPPT techniques, each having some merits and demerits, confusion is always there for their proper selection. Discussion on various proposed procedures for maximum power point tracking of photovoltaic array has been done. Based on different parameters analysis of MPPT techniques is carried out. This assessment will serve as a suitable reference for selection, understanding different ways and means of MPPT.展开更多
The world receives more than 200 thousand people in a day and it is expected that the total world population will reach 9.6 billion by the year 2050.This will result in extra food demand,which can only be met from enh...The world receives more than 200 thousand people in a day and it is expected that the total world population will reach 9.6 billion by the year 2050.This will result in extra food demand,which can only be met from enhanced crop yield.Therefore,modernization of the agricultural sector becomes the need of the hour.There are many constraints that are responsible for the low production of crops,which can be overcome by using drone technology in the agriculture sector.This paper presents an analysis of drone technologies and their modifications with time in the agriculture sector in the last decade.The application of drones in the area of crop monitoring,and pesticide spraying for Precision Agriculture(PA)has been covered.The work done related to drone structure,multiple sensor development,innovation in spot area spraying has been presented.Moreover,the use of Artificial Intelligent(AI)and deep learning for the remote monitoring of crops has been discussed.展开更多
文摘The fast growing demands and increasing awareness for the environment, PV systems are being rapidly installed for numerous applications.However, one of the important challenges in utilizing a PV source is the maximum power harnessing using various maximum power point tracking techniques available. With the large number of MPPT techniques, each having some merits and demerits, confusion is always there for their proper selection. Discussion on various proposed procedures for maximum power point tracking of photovoltaic array has been done. Based on different parameters analysis of MPPT techniques is carried out. This assessment will serve as a suitable reference for selection, understanding different ways and means of MPPT.
基金This work was performed under a Project entitled“Development of IoT and Drone-based Agriculture Monitoring System with Objective of Skill Development of Socially Deprived Community”funded by the Ministry of Electronics and Information Technology(MeitY)Delhi,Govt.of India.Grant Approval letter no.26(6)/2019-ESDA.
文摘The world receives more than 200 thousand people in a day and it is expected that the total world population will reach 9.6 billion by the year 2050.This will result in extra food demand,which can only be met from enhanced crop yield.Therefore,modernization of the agricultural sector becomes the need of the hour.There are many constraints that are responsible for the low production of crops,which can be overcome by using drone technology in the agriculture sector.This paper presents an analysis of drone technologies and their modifications with time in the agriculture sector in the last decade.The application of drones in the area of crop monitoring,and pesticide spraying for Precision Agriculture(PA)has been covered.The work done related to drone structure,multiple sensor development,innovation in spot area spraying has been presented.Moreover,the use of Artificial Intelligent(AI)and deep learning for the remote monitoring of crops has been discussed.
