Wheat harvesting by combine with GPS receiver and grain sensor

Astanakulov, K D; Shovazov, Kodir; Borotov, Atkham; Turdibekov, Akram; Ibrokhimov, Saidmukhammad

doi:10.1051/e3sconf/202122707001

Cited by 22 publications

(15 citation statements)

References 13 publications

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“…In-field variability was notably high when recorded with the Among various factors causing this variability, the key factors could be rice germination, variations in harvester speed, cutter bar height and reel index, especially during setting up the machine, land slope and the size of field. Furthermore, previous researchers have also conformed the final yield data from combine harvester using the corresponding satellite images from a vegetation season, and have concluded that the former can be used to predict yield and to assess site-specific zone productivity [22,23].…”

Section: Discussionmentioning

confidence: 99%

“…For yield-based custom charges, the tariff negotiation between the service provider and the farmer would have been on the basis of simple average (based on few data points on the field); however, with the use of precision grain yield meter, now a weighted average yield value could be used, making it more closely represent the field variability. Generally, when the moisture of the cereal decreases, the combine work efficiency increases, however, the rate of grain loss in the header rises too [22]. the maximum yield with an average grain flow rate range of 6.36 t ha −1 and 22.35% moisture content.…”

Section: Yield Range and Moisture Content Mappingmentioning

confidence: 99%

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A Grain Yield Sensor for Yield Mapping with Local Rice Combine Harvester

et al. 2021

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Rice grain yield was estimated from a locally made Thai combine harvester using a specially developed sensing and monitoring system. The yield monitoring and sensing system, mounted on the rice combine harvester, collected and logged grain mass flow rate and moisture content, as well as pertinent information related to field, position and navigation. The developed system comprised a yield meter, GNSS receiver and a computer installed with customized software, which, when assembled on a local rice combine, mapped real-time rice yield along with grain moisture content. The performance of the developed system was evaluated at three neighboring (identically managed) rice fields. ArcGIS® software was used to create grain yield map with geographical information of the fields. The average grain yield values recorded were 3.63, 3.84 and 3.60 t ha−1, and grain moisture contents (w.b.) were 22.42%, 23.50% and 24.71% from the three fields, respectively. Overall average grain yield was 3.84 t ha−1 (CV = 63.68%) with 578.10 and 7761.58 kg ha−1 as the minimum and maximum values, respectively. The coefficients of variation in grain yield of the three fields were 57.44%, 63.68% and 60.41%, respectively. The system performance was evaluated at four different cutter bar heights (0.18, 0.25, 0.35 and 0.40 m) during the test. As expected, the tallest cutter bar height (0.40 m) offered the least error of 12.50% in yield estimation. The results confirmed that the developed grain yield sensor could be successfully used with the local rice combine harvester; hence, offers and ‘up-gradation’ potential in Thai agricultural mechanization.

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Section: Discussionmentioning

confidence: 99%

Section: Yield Range and Moisture Content Mappingmentioning

confidence: 99%

A Grain Yield Sensor for Yield Mapping with Local Rice Combine Harvester

et al. 2021

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“…According to [12], a reasonable amount of grain losses should not reach a maximum of 3% of the total crop yield. Reference [13] reported a grain loss of 5.3 percent in the header combine harvester, exceeding the minimum limitations. As a result, more studies will be required to find characteristics and operating conditions that minimize grain loss and combine harvester loss.…”

Section: Introductionmentioning

confidence: 95%

Sensing Technologies for Measuring Grain Loss during Harvest in Paddy Field: A Review

et al. 2022

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A combine harvester has been widely employed for harvesting paddy in Malaysia. However, it is one of the most challenging machines to operate when harvesting grain crops. Improper handling of a combine harvester can lead to a significant amount of grain loss. Any losses during the harvesting process would result in less income for the farmers. Grain loss sensing technology is automated, remote, and prospective. It can help reduce grain losses by increasing harvesting precision, reliability, and productivity. Monitoring and generating real-time sensor data can provide effective combine harvester performance and information that will aid in analyzing and optimizing the harvesting process. Thus, this paper presents an overview of the conventional methods of grain loss measurements, the factors that contribute to grain losses, and further reviews the development and operation of sensor components for monitoring grain loss during harvest. The potential and limitations of the present grain loss monitoring systems used in combine harvesting operations are also critically analyzed. Several strategies for the adoption of the technology in Malaysia are also highlighted. The use of this technology in future harvesting methods is promising as it could lead to an increase in production, yield, and self-sufficiency to meet the increasing demand for food globally.

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“…In Uzbekistan, coarse and concentrated feed is obtained mainly from wheat, soybean, corn and safflower [1][2][3]. Wheat and corn grains, as well as corn cobs after grinding, are used in concentrated feed, and wheat straw and corn stalks after harvesting are used in roughage [4][5][6]. Because roughage is the most important source of feed protein for livestock [7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Determining the parameters of the grinder rotor and its blades for grinding coarse feed

Karshiev

Mamato

Gapparov

2022

IOP Conf. Ser.: Earth Environ. Sci.

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The rotary crusher allows you to qualitatively grind pressed roughage. The authors proposed and developed an improved technological scheme of an impact crusher equipped with two beaters for dosed transfer to the grinding chamber. The impact crusher consists of a transfer chute, metering beaters, a chopping chamber, a rotor, chopping knives, fixed knives, an exit chute, a feed bin and an electric motor. The efficiency of work is determined by the following parameters: length, width and thickness of knives, rotor speed. The purpose of the work is to substantiate the parameters of the rotor and its knives. Analytical dependencies are obtained to determine the parameters of the knife. Theoretical studies have established that the minimum length of the knife should be 6.9 cm, the width of the knife is 50 mm, and its thickness is 4 mm. A model for the theoretical calculation of the probability of grinding roughage of the required size within the limits of zootechnical requirements has been obtained. Based on the calculations, the probability of cutting the feed of the required size, depending on the number of rotation of the rotors, was established.

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Wheat harvesting by combine with GPS receiver and grain sensor

Cited by 22 publications

References 13 publications

A Grain Yield Sensor for Yield Mapping with Local Rice Combine Harvester

A Grain Yield Sensor for Yield Mapping with Local Rice Combine Harvester

Sensing Technologies for Measuring Grain Loss during Harvest in Paddy Field: A Review

Determining the parameters of the grinder rotor and its blades for grinding coarse feed

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