AMA, Agricultural Mechanization in Asia, Africa and Latin America (AMA) (issn: 00845841) is a peer reviewed journal first published online after indexing scopus in 1982. AMA is published by Farm Machinery Industrial Research Corp and Shin-Norinsha Co. AMA publishes every subjects of general engineering and agricultural engineering.
AMA, Agricultural Mechanization in Asia, Africa and Latin America (ISSN: 00845841) is a peer-reviewed journal. The journal covers Agricultural and Biological Sciences and all sort of engineering topic. the journal's scopes are in the following fields but not limited to:
Nitrogen (N) management practices has a significant impact on fruit yield of chilli and the physico-chemical properties of soil. To ensure sustainable soil fertility and optimal fruit productivity, it is necessary to consider the distinct levels and timings under N management practices. Therefore, an experiment was conducted at the Research farm, Department of Soil Science, Punjab Agricultural University, Ludhiana, Punjab during the Kharif season of 2022-23 to evaluate the effect of N fertilizer without and with farmyard manure (FYM) in chilli on fruit yield and physio-chemical properties. The research experiment was conducted in split-plot design with three replications. There were two main plots (without and with FYM) with thirteen N treatments in sub-plots. The results revealed that integrated nutrient management (INM) plots (integration of N fertilizers with FYM @ 25 t ha-1) result significantly higher fruit productivity along with improving the soil properties with respect to N plots without FYM. The treatment, 113 kg N ha-1 applied in 4 split doses integrated with @ 25 t ha-1 FYM i.e., INM plots was proved to be significantly higher in fruit productivity (45.8%). The treatment 113 kg N ha-1 applied in 4 split doses has significantly higher macro and micronutrient content with respect to other treatments as compared to the recommended dose of fertilizer i.e, 75 kg N ha-1 applied in 2 split doses. Therefore, 113 kg N ha-1 applied in 4 split doses integrated with FYM @ 25 t ha-1 in chilli would be more beneficial for sustainable crop yield and soil fertility.
In 2017, guava plantlets were planted at different densities to study their growth, flowering, and fruiting behaviour under ultra high density system of orcharding. The experiment was laid out at the Horticultural Research Station, Assam Agricultural University, India, in Factorial Randomised Block Design. The plants accommodated at lower density exhibited improved growth, all the plant growth attributes except the plant height tended to increase noticeably with the decrease in plant density from 10000 to 4444 plants ha-1. The canopy spread in east–west direction was larger in the population density of 5000 plants ha-1 while the north–south canopy spread was greater among plants with density of 4444 plants ha-1. The significantly higher number of flowers, fruits per branch, highest fruit set and lowest fruit drop was recorded in widely spaced population during both winter and rainy seasons of the investigation. Although the rainy season crop bears more flowers and fruits, the fruit setting was higher in the winter season during both years of experimentation. The nutrient level also significantly influenced plant vegetative and reproductive growth, an increased trend was observed with increasing nutrient level, and among all, the highest level of nutrient (70:45:35 g NPK plant-1 for first year and 130:75:65 g NPK plant-1 for second year) exhibited considerable superiority.
This paper develops an autonomous-driving platform to check the condition of soil in agricultural areas. The platform, which runs on an electric motor equipped with a caterpillar, uses an RTK-GPS module for accurate position estimation to obtain position coordinates with an accuracy of several centimeters and integrates an Inertial Measurement Unit (IMU) sensor to obtain precise angle values. An algorithm is developed to control the autonomous-driving platform and proceed with the planned route to the optimal route. In order to smoothly and accurately control the direction of a small tractor, an extended Kalman filter control algorithm is used to develop an algorithm that can automatically achieve more stable path driving by eliminating instability and risk caused by rapid steering control. The route is set by combining the RTK-GPS module and IMU module, which provide precise location coordinates, and an environment is provided so that the soil contamination sensor can operate at an accurate location at regular intervals within the driving route.
The donkey, formerly thought of as the common man's tractor, is no longer a highly prized animal in many areas of India because mechanisation has replaced animal power in India's transportation, agriculture, and other commonplace tasks. Equine power, particularly donkey power, is still used in difficult hilly terrains where motorised vehicles cannot go. India is home to roughly 0.12 million "Beast of Burden" donkeys. Indian donkeys are present in a variety of agroclimatic regions. The sharp decreasing trend seen in the Livestock Census has made it necessary to learn about the present state of donkeys. The population of donkeys has decreased by 61.2% since the last census in 2012, which is blamed on a number of issues, including the mechanisation of brick kilns, disease outbreaks, illegal trade and slaughter, low-income generation, and other societal problems. However, the majority of India's donkeys are concentrated in rural areas, where they serve as a means of subsistence for those who are impoverished. This study focuses on the population dynamics and geographic distribution of donkeys in order to prepare future initiatives to preserve the biodiversity of this significant equid germplasm.
This study was conducted to test whether the entomopathogenic nematodes, Heterorhabditis indica and Steinernema abbasi, used in biological pest management programmes could potentially have adverse effects on honey bee, Apis mellifera workers. EPNs are considered as safe bio-agents which might be used as a bio-pesticide against the greater wax moth, Galleria mellonella infesting honeybee colonies without causing any harm to adult bees and brood. However, exposer of bee workers to Steinernema abbasi and Heterorhabditis indica under laboratory conditions confirmed the susceptibility of bee workers to nematode infection without successful recycling. The results obtained showed % mortality of bee workers exposed through feed (indirect exposer) were 37% and 61%, respectively, while for direct spray, the mortality percentages were 20% and 33% for H. indica and S. abbasi, respectively, under laboratory conditions. This study concluded that application of both S. abbasi and H. indica may not be the safe options to be used in any situation where honeybee workers or colonies are likely to be exposed during bio-control interventions.