Krishika

About Krishika By  Altamash Haider Khan In the Indian society agriculture plays a very important role. According to 2011 agricultural Census of  India , an estimated 61.5% of the 1300 million  Indian population  is rural and  dependent on agriculture . The number of farming  households are 159.6 million. The % of marginal households with less than 1 ha of farm land has come down from 62.9% in 2000–01 to 22.5% in 2010–11. Climate plays a dominating role in agriculture. Plants require sufficient heat and moisture for their growth. Normally, regions having maximum temperature of less than 10°C are not suitable for plant growth. In the tropical regions, where temperature is high throughout the year, agriculture is successfully done. Plant life is not possible in dry areas except that with the help of irrigation. The moisture requirements vary from plant to plant and region to region. In the lower latitudes, where temperatur...

Our Mission to do so.... A study by a premier social sciences research institute reinforces what policymakers and media have been talking about the past few years—that India is going through a deep agrarian crisis. The Centre for Study of Developing Societies (CSDS), based in Delhi, found that given an option majority of farmers in the country would prefer to take up some other work. Poor income, bleak future and stress are the main reasons why they want to give up farming. Around 18 per cent of respondents surveyed said it was because of family pressure that they are continuing with farming. The CSDS study report, “ State of Indian Farmers ”, was released in Delhi on Tuesday. Why they want to give up farming  The survey of 5,000 farm households across 18 states says that 76 per cent farmers would prefer to do some work other than farming. Sixty-one per cent of these farmers would prefer to be employed in cities because of better education, health and employment avenues the...

Machine Learning in Agriculture: Applications and Techniques by Altamash Haider Khan IT Student Recently we have discussed the  emerging concept of smart farming   that makes agriculture more efficient and effective with the help of high-precision algorithms. The mechanism that drives it is Machine Learning — the scientific field that gives machines the ability to learn without being strictly programmed. It has emerged together with big data technologies and high-performance computing to create new opportunities to unravel, quantify, and understand data intensive processes in agricultural operational environments. Machine learning is everywhere throughout the whole growing and harvesting cycle. It begins with a seed being planted in the soil — from the soil preparation, seeds breeding and water feed measurement — and it ends when robots pick up the harvest determining the ripeness with the help of computer vision. Let’s discover how agriculture can benefit fro...