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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.

Submission Deadline
07 Aug 2022 (Vol - 53 , Issue- 08 )
Upcoming Publication
31 Aug 2022 (Vol - 53 , Issue 08 )

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:

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
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

Conservation agriculture effects on root traits, productivity and profitability of rice in Rice-Wheat-Summer moong cropping system

Paper ID- AMA-12-01-2022-11011

The experiment was established during kharif season 2019 and 2020 with different cropping systems were evaluated in a randomized complete block design with four replications at Punjab Agricultural University Ludhiana. The result revealed that the more no. of tiller count, PARI (%), no. of grain panicle-1, weight of grains/panicle (g), panicle length (cm), harvest index and 1000-grain weight (g) were produced under CA based management scenario PTR-Happy seeder wheat-summermoong(ZT)(+R) -Sc2 and lowest under PTR – CT wheat–summermoong(R0)-Sc1 during both the years. Scenario Sc2 (74.5 and 77.8 q ha-1) produced 8.96 and 11.78 per cent during first year and second year higher grain yield compared to Sc1 (68.3 and 69.5 q ha-1) in first and second years, respectively. Significantly the maximum root traits i.e. total root length, stem and system width were observed under Sc2 as compared to Sc1. Irrigation water applied varied from 1125-1275 and 1425-1725 cm ha-1 during first and second years, respectively. CA scenario Sc2 recorded 23.50 per cent higher IWP during the first year and 35.23 per cent higher IWP during the second year compared to Sc1 scenario. Whereas, the highest benefit cost ratio (B: C ratio) was recorded under Sc2 (2.36 &2.65) as compared to Sc1 (1.64 &1.71) during both the year. The system productivity recorded highest in CA based cropping system as compared to conventional till.

Research on the identification of major rice pests based on SD-Mask R-CNN

Paper ID- AMA-11-01-2022-11009

Rice pest control effect is a key factor of rice harvest, and the prediction of pest development trend is a necessary step of pest control. To improve rice pest control effect and rice quality, a deep learning-based SD-Mask R-CNN convolutional neural network is proposed to accomplish accurate identification of segmented pest pictures. The training and testing samples of the network are collected in a multi-point manner to collect pest samples from different regions and various developmental ages to realize the diversity of rice pest samples. Based on the Mask R-CNN recognition network, and the Resnet swish DISN feature extraction network is proposed to solve the problems of gradient explosion and network degradation that easily occur in the recognition network. It is found that the recognition average accuracy AP of this recognition network reaches 98.08% and the recall rate Recall is 95.19%, which are improved by 9.8% and 17.56% respectively compared with Mask R-CNN recognition network.

Effect of Electrostatic Force on Mechanical Pollination in Green House Crops

Paper ID- AMA-10-01-2022-11006

Many flowers are morphologically adapted to take advantage of electrostatic forces during pollination. Hence the application of electrostatic force in non-contact type mechanical pollen collection has been gaining more importance since most of the mechanical pollinators are contact in type and cause mechanical injury to the flower which leads to decrease in fruit set efficiency. This study investigated different parameters for the development of an electrostatic pollinator for vegetables crops under protected cultivation. Tomato and bitter gourd were selected for the study. Electrostatic pollinator mainly consists of an electrode and a high voltage amplification circuit. Spherical shaped electrodes, E1 and E2 with diameter 10 mm and 7.5 mm and electrostatic induction charging system was selected for uniform distribution of charges. The pollen collection and deposition capacity of electrodes were evaluated at different voltage potentials of 3 kV, 4 kV, 5 kV, 6 kV and 7 kV. Fruit set efficiency of the flowers after electrostatic and conventional pollination were recorded. The maximum number of pollens was collected by electrode E1 with a charging potential of 6 kV at 5 mm distance from the anther tip of flower. At 7 kV electrode potential, repulsion of pollen grains was observed just before reaching the electrode after detaching from the anther and some of the repelled pollens are deposited on the stigma of same flower. The fruit set efficiency of was 70% in tomato and 100% in bitter gourd with electrostatic pollination whereas it was 30% after hand pollination.

Molecular Characterization of Root-Knot Nematode Meloidogyne enterolobii Infesting Guava in Karnataka, India

Paper ID- AMA-05-01-2022-11001

The root-knot nematode problem in guava is a newly emerging problem in India. A new report of the presence of new invasive species of root-knot nematode Meloidogyne enterolobii is of major concern now. Representative samples collected from five major guava growing districts namely, Bengaluru, Chikkaballapur, Dharwad, Kolar, and Shivamogga of Karnataka state, India were used for molecular characterization using ITS primer and M. enterolobii specific SCAR primer. All the samples confirmed the presence of new invasive species of root-knot nematode (M. enterolobii) in guava orchards located in different parts of Karnataka. Phylogenetic analysis using the maximum likely hood method grouped the eight isolates into two sub-clusters under a single clade. To the best of our knowledge, the present investigation is the first molecular based confirmation of the presence of M. enterolobii in Karnataka.

Chemical and Biological Control Measures against Cumin Wilt Incited by Fusarium oxysporum f. sp. cumini

Paper ID- AMA-05-01-2022-11000

Wilt of cumin incited by Fusarium oxysporum f. sp. cumini is one of the important disease and a big constraint in successful cultivation. An investigation was made to minimize this disease by use of systemic and non systemic fungicides. All the fungicides significantly inhibited the mycelial growth of Fusarium oxysporum f. sp. cumini as compared to check at 100, 200, 500 ppm concentration. Carbendazim was found significantly superior at 200 and 500 ppm with maximum inhibition of mycelial growth followed by carbendazim+mancozeb. As the concentration of fungicides increased, the inhibition of mycelial growth was also increased and maximum inhibition was observed at 500 ppm concentration. Hexaconazole was least effective. All the fungicides tested as seed dresser, reduced wilt incidence of cumin in both the years and carbendazim was found significantly superior with minimum disease and maximum yield over control followed by carbendazim+mancozeb. Pooled analysis of two years data revealed that the maximum disease control (72.24%) was recorded in the treatment soil application of FYM + seed treatment with Trichoderma with maximum per cent yield increase (218.34) followed by soil application of Neem cake + seed treatment with Trichoderma with (64.33%) disease control and (202.05%) yield increase. The control resulted maximum incidence of wilt (61.06%) with lowest yield (99.25kg/ha) as compared to all other treatments.