AMA, Agricultural Mechanization in Asia, Africa and Latin America
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.
WOS Indexed (2025)
07 Dec 2025 (Vol - 56 , Issue- 12 )
31 Dec 2025 (Vol - 56 , Issue 12 )
Aim and Scope :
AMA, Agricultural Mechanization in Asia, Africa and Latin America
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:
Agricultural and Biological Sciences
Electrical Engineering and Telecommunication
Electronic Engineering
Computer Science & Engineering
Civil and architectural engineering
Mechanical and Materials Engineering
Transportation Engineering
Industrial Engineering
Industrial and Commercial Design
Information Engineering
Chemical Engineering
Food Engineering
Effect of Weed Management Practices on Weed Dynamics and Productivity of Sweet Corn (Zea mays L. Ssp saccharata) under Organic Production System
A field experiment was conducted during 2019-20 at the Agronomy Farm, Rajasthan College of Agriculture, Udaipur. The experiment was laid out in a RBD with three replications and twelve treatments viz. T1: Hoeings at 20 and 40 DAS, T2: Power weeding at 20 DAS + hoeing at 40 DAS, T3: Stale seedbed + two hoeings at 20 and 40 DAS, T4: Stale seedbed + power weeding at 20 DAS + hoeing at 40 DAS, T5: Stale seedbed + hoeing at 20 DAS + straw mulch at 30 DAS, T6: Stale seedbed + plastic mulch at sowing, T7: Soil solarization + two hoeings at 20 and 40 DAS, T8: Soil solarization + power weeding at 20 DAS + hoeing at 40 DAS, T9: Soil solarization + hoeing at 20 DAS + straw mulch at 30 DAS, T10: Soil solarization + plastic mulch at sowing, T11: Weed free check and T12: Weedy check. On the basis of experiment result it was revealed that T10 and T6 at all stages of observation and T9 and T5 at 30 DAS and T11 up to 50 DAS were the most effective treatment in reducing weed density and weed dry matter accumulation as compared to other treatments. Like weed dry matter accumulation T10 and T6 gave 100 per cent weed control efficiency at all stages of observation. The highest green cob and fodder yield were recorded in T10 (12.97 and 26.32 tonnes ha-1) which was statistically at par with T9 (12.77 and 24.57 tonnes ha-1, respectively).
Effect of nitrogen and spacing on flower yield of spider lily (Hymenocallis littoralis L.)
The present investigation entitled “Effect of nitrogen and spacing on flowering of spider lily (Hymenocallis littoralis L.)” was undertaken at College of Horticulture, Dr. Balasaheb Sawant Konkan Krishi Vidyapeeth, Dapoli during the year 2019-20 and 2020-21 by considering the commercial importance of spider lily under Konkan agro-climatic conditions. The experiment was laid out in a split plot design using four levels of nitrogen and three levels of spacing with three replications along with the common dosage of phosphorous (150 kg ha-1) and potassium (100 kg ha-1). The observations were recorded on various growth namely number of flower buds per plant, flower buds per ha (lakh ha-1), flower yield per plot (kg plot-1) and flower yield per ha (t ha-1) and most of the parameters were differed significantly at highest levels of nitrogen and spacing. Flower yield and yield attributing characters viz., the highest number of flower buds per plant (46.84), flower buds per ha (16.01 lakh), flower yield per plot (8.50 kg) and flower yield per ha (6.56 t ha-1) were recorded with the treatment N1 (300 kg ha-1). With regards to spacing, the highest number of flower buds per plant (36.23), flower buds per ha (19.37 lakh), flower yield per plot (9.48 kg) and flower yield per ha (7.31 t ha-1) was recorded in S3 (30 × 60 cm). However, the interaction effect of treatment combination N1S3 (300 kg N ha-1; 30 × 60 cm) recorded the highest number of flower buds per plant (58.52), flower buds per ha (29.49 lakh), flower yield per plot (16.06 kg) and flower yield per ha (12.39 t ha-1).
On Farm validation of technology for enhancing the productivity and profitability of maize intercropped with rajmash under high hills of north-western Himalayas.
A field experiment was conducted during kharif 2011 and 2012 at Sartangal farm of regional research horticulture station of SKUAST-Jammu by taking total sixteen treatment combinations with four cropping systems viz., sole maize, sole rajmash, maize + rajmash in 1:1 (1 rows of maize alternating with 1 row of rajmash) and maize + rajmash in 2:1 (2 rows of maize alternating with 1 row of rajmash), and four nutrient management techniques viz., T1=control, T2=100% NPK (RDF, recommended dose of fertilizers N:P2O5:K2O, T3=75% RDF + remaining 25% N through farmyard manure (FYM) T4=50% RDF + remaining 50% N through farmyard manure (FYM). Among cropping system maize + rajmash (1:1) produced highest maize grain equivalent yield (MEY, 7772 kg/ha, net returns (INR 52190/ha), B:C ratio (1.81) and Whereas among nutrient management techniques,75% RDF + 25% N (FYM) produced highest MEY (7681 kg/ha), net returns (INR 52585/ha) and B:C ratio of 1.88. These best experimental results were further validated by conducting five OFTs in farmers field selecting two dominant sites namely Gwari and Sartangal where maize and rajmash were intensively grown to validate the performance with respect to increase productivity and profitability of maize (Bioseed-9621) intercropped with rajmash (local). The results of OFT highlighted that the percent increase in MEY, Net returns, B:C ratio and energy productivity was 46.27, 55.64, 23.83 and 60.86 respectively under new recommendations (One row of maize followed by one row of rajmash with fertilizer dose of 75 kg/ha urea, 68 kg/ha DAP and 25 kg/ha MOP and 3t/ha FYM) over existing recommendations [Mixed cropping using seed rate of 8:1, with fertilizer dose 100 kg/ha urea, 90 kg/ha DAP and 33 kg/ha MOP (Package and Practices)] besides improved soil fertility due to line sowing, use of higher seed rate and use of balanced fertilizer doses in New recommendations. Hence new recommendations increased productivity and profitability of maize intercropped with rajmash thus recommended under high hills of north west Himalayas.
Technologies used in plant protection and weeding implements for optimising their performance: A Review
Weed control is one of the most time-consuming tasks, and manual weeding is inefficient due to labor costs, time, and tedium. Chemical weed management technologies have helped to alleviate these negative aspects. However, the growth of herbicide-resistant weeds, their environmental impact, and the growing desire for chemical-free foods have encouraged researchers to investigate alternate weed management strategies. A prototype of a walking-type battery-operated boom sprayer cum weeder was developed. The attachment was made to suppress inter-row weed plants mechanically. A brushless dc motor powers the mechanical weeding attachment. One of the most challenging aspects of this project was appropriately designing the weeding attachment and the sprayer for spraying. Both attachments would be joined with a machine to do mechanical weeding and spraying without affecting the crops. In this paper, various researches on sprayers, weeders, and combined configurations of sprayers & weeders have been discussed along with their working principles.
Prediction of peanut seed vigor based on hyperspectral images
Prediction of seed vigor based on hyperspectral peanut. The traditional method is time-consuming and laborious to detect seed vigor. At the same time, the accuracy of the detection result is not high, and it will cause damage to the seed itself. Therefore, in order to achieve rapid and non-destructive detection of peanut seed vigor, the test was performed with original health, artificial aging for 24h and Peanut seeds with different vigor gradients at 72 hours were used as the research samples. Hyperspectral images with a wavelength range of 387~1035nm were collected, and the image of the central part of the peanut seeds with a pixel size of 60×60 after correction was intercepted and the average reflectance value was calculated. After the collection was completed, the individual peanut seeds were numbered one by one, and then the roll paper germination method was used to induce germination to ensure that the peanut samples collected by the spectrum were consistent with each other. There was a one-to-one correspondence between the peanut seeds in the induction test of roll paper germination. After a combination of processing analysis, characteristic band processing, and model selection, a hyperspectral prediction system with the highest correlation to the viability of extracted peanut seeds was finally established. Experiments shown that the combination of hyperspectral imaging technology and the MF-LightGBM-RF model had the best performance, with a prediction accuracy of 92.59% and a fitting time of 1.77s, which simplifies the model and improves efficiency.