23 Jul Artificial Intelligence in Agriculture
कृषि में कृत्रिम बुद्धिमत्ता Global population by 2050 is expected to reach more than nine billion. Raise in population may create a huge food demand and to fulfil the food security which will require an increase in agricultural production by 70%. So we have to get more produce from limited land and also by reducing the cost of cultivation. New technologies will be needed to ease the workload on farmers. Field operations will be remotely controlled and automated risk will be identified throughout the crop cycle. This machine learning also develops farmers’ friendly apps to ease the workload of farmers and to improve a wide range of agriculture related risk. The raise in cost of cultivation, crop failures due to unpredictable diseases, loss of soil fertility and labour shortage has significant negative impact in agriculture. Increasing in demand and shortage of supply adversely affect the socio economic status. Machine learning and artificial intelligence attain its importance to overcome this strategy. Artificial intelligence is the intelligence exhibited by machines, rather than human or other animals. The action to maximize the success will be carried out by using the intelligent agents which perceives it’s environment (Russel et al., 2015). Artificial intelligence pave the way towards drones, robotics and sensor based technologies. Certain apps like plantix, ICRISAT...