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:Azerbaijan Medical Journal Gongcheng Kexue Yu Jishu/Advanced Engineering Science Zhonghua er bi yan hou tou jing wai ke za zhi = Chinese journal of otorhinolaryngology head and neck surgery Interventional Pulmonology
Internet of Things (IoT) has been a serious influence in agriculture since its application to the sector. This paper provides an in depth review of the employment of good technologies in agriculture and elaborates the progressive technologies for good agriculture together with, web of Things, cloud computing, machine learning, and computer science. The application in smart agriculture in crop production and post-harvesting is mentioned. The impact of climate change on agriculture is additionally thought-about. This paper contributes to information by iterating the challenges of good technology to agriculture whereas lightness the problems known from existing framework of smart agriculture. The authors determine several gaps in existing analysis affecting the application of IoT in smart agriculture, and counsel any analysis to boost the current food production globally, to supply higher food management and property measures across the world.
This study has accessed the economic impact of Sub-Surface Drainage (SSD) technology on sugarcane production. The 'with' and 'without' approach was adopted for the collection and analysis of data. 60 sample farmers ‘with SSD’ and 60 sample farmers ‘without SSD’ consisting of total 120 farmers were selected from three tahsils of Sangli district of Maharashtra. The average per hectare establishment cost of SSD system was observed to be Rs. 1,38,183. The per quintal cost of production for adsali sugarcane for with and without SSD farms was Rs. 219 and 279 respectively. The gross return of adsali sugarcane was observed to be 40.77 per cent more on ‘with SSD’ farms as compare to the ‘without SSD’ farms of adsali sugarcane. The per quintal cost reduction for adsali sugarcane observed to be 27.43 per cent on ‘with SSD’ farms over the ‘without SSD’ farms. The per farm gross income accrued from cultivation of adsali sugarcane was Rs. 414675.25 and Rs. 245619.15 on farms with and without SSD, respectively showed an increase of 40.77 per cent in gross returns due to the adoption of SSD technology. While, the farm business income, family labour income, net income were also higher on farms with SSD over the farms without SSD with the tune of 67.98, 86.65and 104.44 per cent, respectively.
Seed pelleting is the process in which inert materials are added to seed with an objective to improve seed placement, germination and crop stand and to reduce seed rate and to impart protection against various biotic and abiotic stresses specially in case of pulses as few of them have very small seeds which are difficult to handle otherwise. In present scenario pulses are proving to be an essential immunity booster as they are rich source of proteins and other essential nutrients. In Indian prospects the major constraints in pulse production are their low production and productivity. Thus, seed pelleting has vast potential to overcome these issues because of above stated advantages.
The growth of the Scenedesmus spinosus microalgae was evaluated in four culture mediums: Z8, Watanabe, Bristol and BG-11, using a pilot raceway photobioreactor. The reactor used had a culture volume of 1.2 m3, it was built of fiberglass and covered with a transparent polycarbonate lid on top to avoid contamination. Turbidity, total solids, solar irradiation, and temperature were measured for a period of 28 days. Biomass growth was evaluated through the change in turbidity over time and gravimetry tests, for the four analyzed culture mediums. The culture medium showing the highest biomass yield over the time corresponded to the Z8 medium, closely followed by Watanabe, while Bristol and BG-11 generated the lowest biomass increment. The highest productivity value corresponded to 55.7 g m-3d-1 with Z8 medium while the lower biomass productivity figure corresponded to 5.6 g m-3d-1 with Bristol medium.
Mango leaf cutting weevil is the important serious pest of mango in sub-Himalayan Terai region of West Bengal. The incidence of leaf cutting weevil was recorded on rejuvenated plants of different mango cultivars Amrapali, Mallika, Himsagar, Fazli and Langra after the emergence of new leaves. The leaf cutting weevil incidence were correlated with different weather parameters like maximum and minimum temperature, relative humidity and rainfall. Among the all-weather parameters the leaf cutting weevil maximum incidence positively correlated with minimum temperature in cvs. Mallika (r = 0.803*) and Langra (r ꞊ 0.720*). In Amrapali the highest incidence was correlated with maximum relative humidity (r ꞊ 0.660*), Fazli (r ꞊ 0.652*) and Himsagar (r ꞊ 0.643*) the maximum incidence was correlated with minimum temperature and maximum relative humidity. Stepwise regression equation was developed to predict the infestation of leaf cutting weevil on rejuvenated mango cultivars as affected by the prevailing weather parameters like temperature, relative humidity and rainfall were considered for individual variables for regression analysis. Maximum regression coefficient (R2 = 0.703) was recorded in Mallika followed by Amrapali (R2 = 0.629), whereas, the minimum value was recorded in Himsagar (R2 = 0.488).