Traditional crop diversity and its conservation on-farm for sustainable agricultural production in Bhandara District, India

Kudnar, Nanabhau S.; Padole, Manish S.; Salunke, Vasudev; Bhagat, Ravindra S.

doi:10.32628/ijsrset207650

Cited by 13 publications

(1 citation statement)

References 8 publications

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“…Under the combined effe of production decision-making and mechanization decision-making, the impact mech nism of agricultural mechanization services on grain production capacity is shown in Fi ure 1. It can be seen from Figure1 that agricultural mechanization services mainly affe food production capacity from three perspectives: replacing traditional labor, introduci new agricultural technologies, and generating human risks of mechanized technolo [26]. In an ideal state, the first two factors will promote the improvement in the quality agricultural production operations and achieve mechanized yield increases through tec nological development, while human risk may reduce the quality of operations [27].…”

Section: Design Of Production Capacity Modelmentioning

confidence: 99%

The Influence of Agricultural Production Mechanization on Grain Production Capacity and Efficiency

Liu

2023

Processes

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As an important production factor of grain production, agricultural machinery can effectively provide a theoretical basis for agricultural modernization development strategies by exploring its impact on grain production capacity and efficiency. This research starts from the two aspects of grain production capacity and grain production efficiency, takes rice, wheat, and corn as the research objects, and uses the C–D production function and Tobit model as the basis, respectively, to establish two impact models of production capacity and production efficiency. At the same time, according to the different emphases of the two models, this research designs different variable systems and finally uses the data from 2017 to 2021 for empirical analysis. The research results show that the influence coefficients of machinery service income and machinery power resource input on the total grain production capacity are 0.0976 and 0.0437, respectively, with a significant positive impact. At the same time, for rice crops, wheat crops, and corn crops, the amount of mechanization cost per mu has a significant positive impact on the yield capacity of crops, with impact coefficients of 0.0311, 0.0827, and 0.0233, respectively. The supply level of agricultural machinery services and the utilization rate of agricultural machinery services per mu have a significant positive impact on grain production efficiency. The impact coefficients of the supply level of agricultural machinery services per mu are 0.0192, 0.0587, and 0.0241, respectively. The impact coefficients of the agricultural machinery service utilization rate are 0.0059, 0.0148, and 0.0607, respectively, with a significant positive impact. It can be seen that agricultural production mechanization can effectively promote the improvement in grain production capacity and efficiency and promote the process of agricultural modernization. At present, most of the research on industrial mechanization services is biased toward the choice of agricultural mechanization services by farmers. However, this research has carried out the impact mechanism analysis from the perspective of time and space and the perspective of crops, rationalizing the impact mechanism of agricultural production capacity and agricultural production efficiency under agricultural mechanization.

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Section: Design Of Production Capacity Modelmentioning

confidence: 99%