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WOS Indexed (2024)
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. Lizi Jiaohuan Yu Xifu/Ion Exchange and Adsorption Fa yi xue za zhi
05 May 2024 (Vol - 55 , Issue- 05 )
30 Apr 2024 (Vol - 55 , Issue 04 )
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
Research on field path tracking control technology based on multi-sensor fusion
Aiming at the problem of low automation of field transportation, the path planning and tracking control technology of tracked transfer vehicle are studied. A control system based on ROS (robot operating system) platform is designed. The system integrates the information of global satellite navigation system (GNSS) and inertial navigation system (INS), realizes the real-time acquisition of the actual position of tracked transfer vehicle in Hilly and Mountainous Orchard field with high precision, and adopts the fuzzy proportional integral derivative (PID) controller based on parameter optimization preview to realize path tracking. The test results show that under the condition of normal positioning signal, the average lateral deviation of transfer vehicle path tracking is 10cm; When the positioning signal is abnormal, the transverse deviation tracked by the transfer vehicle is 10.56cm, which can achieve the goal of automatic driving of the transfer vehicle in orchards in Hilly and mountainous areas.
Real time Boron and Potassium Deficiency Detection in Plantain Trees Using Deep Convolutional Neural Networks
Predominantly, the identification of nutrient deficiency in plantain trees are based on visual symptoms. Nutrient anomalies are performed by trained specialists manually. It is a time-consuming process and needs proper attention since the symptoms appear in various parts of the crops. This work proposes an image classification and recognition system that analyses for analyzing nutrient deficiency from their visual appearance. The methodology uses deep learning techniques to analyze the nutritional status of the plant using the digital images of its leaves. Initially, the experiments are carried out for the boron and potassium nutrients deficiency of the plantain trees. The banana nutrient deficiency dataset consists of nutrient-deficient leaf images of plantain trees collected from various cultivation fields of Tamil Nadu. The efficacy of Convolutional Neural Network (CNN) makes them suitable for these kinds of applications. The system has experimented with state-of-the-art CNN architectures such as resnet50 and googlenet for classifying Boron and Potassium deficient plant images. The efficient architecture in terms of classification accuracy is selected for developing the SmartPhone-Centric real time nutrient deficiency detection system for assisting the farmers. The application presents the nutritional status of the plants, when getting the Plantain leaf images through the classification performed by the CNN. In the future, the dataset will expand by collecting the images of other nutrient deficient plants and will improve the classification accuracy with a greater number of images for obtaining more advantageous and expressive results for the real-time use of the farmers.
A study on- “Variation in nutrient status and uptake of greengram (Vigna radiata L.) as influenced by foliar spray of potash under different irrigation regimes in Maharashtra, India ”
An agronomic investigation was carried out at Post Graduate Institutional Research Farm, Mahatama Phule Krishi Vidyapeeth, Rahuri, Dist. Ahmednagar, Maharashtra (India) during summer 2018 to study optimum irrigation schedule and the effect of foliar application of potash on growth, yield and quality of summer greengram. The experiment was laid out in split plot design with three replications. The experiment consists of twelve treatments involving four main plot treatments i.e. irrigation schedules at 40, 60, 80 and at 100 mm CPE and the subplot treatments are foliar application of 1 % potash (KNO3) at flowering, at pod development stage and at flowering and pod development stage. The experimental results revealed that, the maximum consumptive use of water recorded under scheduling of irrigation at 40 mm CPE (305 mm), followed by treatment irrigation at 60 mm CPE (223 mm). Among the different treatments, irrigation at 40 mm CPE recorded significantly higher seed yield (13.31 q ha-1) and yield attributes of summer greengram and it was at par with treatment irrigation at 60 mm CPE (13.08 q ha-1). Foliar application of 1% potash (KNO3) at flowering and at pod development stage recorded significantly higher seed yield (12.42 q ha-1) and yield attributes of summer greengram. The study showed results the irrigation at 60 mm CPE and foliar application of 1% potash at flowering and pod development stage to summer greengram found suitable preposition to achieve highest grain yield.
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).