Increase in the world’s population as well as decrease in the availability of agricultural labour are demanding a smarter way to fulfill the global supply chain. Defining human intelligence in such a way that a machine can easily mimic it and can execute tasks which are simplest and those that are even more complex is known as artificial intelligence (AI). Recent advances in electronics offer vast opportunities for research, development and innovation in agriculture. India is facing scarcity in labour due to people moving into urban areas as daily wage workers and also due to agriculture being unproductive now a days. As a result there is always a scope to introduce new technologies like robotic platforms, plant health detection sensors, robotic harvesters, unmanned aerial vehicles, soil nutrient mapping using MATLAB etc., which can change the phase of agriculture. Present study was undertaken to summarize all the available technologies in agriculture from sowing to post harvesting. Although there are many applications, implementing an AI based technology on Indian fields is a difficult task because of the limited land holdings and different soil types. Repair and maintenance of these systems require a technical authority who should be available now and then for quick assistance.
Indian Agriculture is undergoing a gradual shift from dependence on human power and animal power to mechanical power. Mechanical power is largely consumed in big land holdings asunder their economic condition, the small and marginal farmers are unable to own farm machinery on their own. Andhra Pradesh State is typically an agrarian State with 80.96 lakh ha of the net sown area and has about 65.39 lakh ha operational holdings and 34.35 lakh ha are small and marginal holdings. Some of the initial problems in farm mechanization had been the small and scattered size of farm holdings, financially challenged farmers, lack of awareness among the marginal farmers, and the issue of dry land agriculture. In Andhra Pradesh at present, the Farm power availability is below 2.00Kw/ha. Which is low and there is a lot of scope for improvement. The mechanization index very low SC and ST category because of that is staying away from the municipal areas, small land holding, less annual income, and repair and Maintenance Lake of non-availability of workshops in rural areas. The economic status of the farmers is greatly affected by the farm mechanization index less mechanization formed in less than 25,000 Rs of the annual income of the farmers.
Background: Agriculture is the most vital sector of the Indian economy. In 2020, India’s population was 1.38 billion, with a projected growth of 1.80 billion by 2050. As a result, more food must be produced to meet the demands. Mechanization is recognized as an important input for increasing agricultural production. It assures timely field operations, improves product quality and quantity, improves input-use efficiency and reducing labour costs and drudgery. Methods: Randomly, 5 Mandals are selected; within each Mandal, 5 villages are chosen randomly; and from each village, 20 farmers are chosen at random. For the survey, a sample of 500 farmers from 25 villages was selected to examine the mechanization index and farm power availability by considering factors such as social status, landholding and economic status of farmers. Result: According to the study’s findings, that the average mechanization index and average farm power availability were 68% and 1.64-kW ha-1, respectively. The influencing factors that observed from the study was lack of knowledge about how to use farm machines and implements, lower annual income of farmers and marginal farmers who cannot afford to buy expensive machinery and implements. The mechanization index and farm power availability increase linearly with the farmer’s economic status.
Background: Rice is the major crop in India in terms of area, production and consumption. Rice occupies about 23% of the gross cropped area and 35% of the total area under food grains in the country. Rice is of one key importance to the economy as well as a staple food for Telangana people, requiring about 50 lakh tons annually to feed the state population. In recent times the area under rice cultivation has been increased and is expected to hit the one crore acre mark by rabi season 2022. In any type of crop production system an accountability of inputs, energy spent, yield and costs must be monitored, by that one can modify it or substitute it for obtaining the better results. Methods: Due to decline in the share of agriculture workers in the country, there is a need to adopt new technologies in rice cultivation. Dry direct seeding of rice refers to direct sowing of rice seeds in the dry field rather than by transplanting seedlings from the nursery. A study was conducted to compute the inputs and energy consumptions in manual transplanted rice production (MTR) and dry direct seeding rice production (DDSR) methods of paddy cultivation in the combined Nalgonda district of Telangana State, during 2020-21. Firstly, the different operations performed in these two methods were listed out, then by using suitable energy equivalents total energy consumed in two methods of operations were calculated. Result: The human energy spent in the manual transplanted rice production and dry direct seeded rice productions were 506 and 92.84 MJ/ha respectively. Specific energy noted for dry direct seeded rice production and manual transplanted rice productions were 2.10 and 2.28 MJ/kg respectively. A total saving of Rs. 16,000/- ha-1 was recorded by practicing the dry direct seeded rice production method over the manual transplanted rice production method. On comparing both the methods for overall energy consumption, manual energy consumption and cost of cultivation DDSR method was found to be more efficient than MTR method in the district.
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