Harvest Vegetables Research Articles

Potential phosphorus mobilization from riparian vegetation following freezing

Phosphorus (P) rich runoff from agricultural landscapes is a major contributor to freshwater eutrophication. Vegetated riparian zones are often employed to retain P from field runoff before it enters streams. In cold regions, vegetation has the potential to release P to runoff following freezing; however, it is unclear if this differs with winter frost severity, riparian zone local topography, vegetation type, and/or exposure to flooding/inundation. To explore the vulnerability of riparian vegetation to winter P losses, this study quantified soil and vegetation P concentrations from 8 riparian zones in Canada at different topographic positions within each riparian site (upper/field edge, lower/water edge) in both the fall and spring seasons and related this to observed surface temperatures and water levels throughout the non-growing season. This was complemented by two laboratory mesocosm experiments in which (1) plant samples were subjected to moderate (−40C) and severe (−250C) simulated winter frost treatments to quantify changes in their water extractable P (WEP) content, and (2) mesocosms were inundated with water to determine if dissolved P concentrations in flood water differed when plants were left intact, clipped but left on the soil surface, or harvested. Greater soil and vegetation P concentrations were observed at upper locations (field edge), and this remained consistent following freezing; however, vegetation WEP concentrations increased with greater simulated frost severity. In the field, temperatures were moderated by snow cover and although differences with riparian zone position were apparent between fall and spring collected samples, changes in P pools did not appear to be related to frost severity or inundation in the field. The mesocosm experiment revealed that harvesting vegetation considerably reduced dissolved P concentrations in flood water. This study shows that vegetated riparian zones can act as a source of P to streams during the winter non-growing season, and highlights the potential for riparian vegetation management in reducing P losses from riparian zones in cold climates.

Scheduling of Collaborative Vegetable Harvesters and Harvest-Aid Vehicles on Farms

Transporting harvested vegetables in the field or greenhouse is labor-intensive. The utilization of small harvest-aid vehicles can reduce non-productive time for farmers and improve harvest efficiency. This paper models the process of harvesting vegetables in response to non-productive waiting delays caused by the scheduling of harvest-aid vehicles. Taking into consideration harvesting speed, harvest-aid vehicle capacity, and scheduling conflicts, a harvest-aid vehicle scheduling model is constructed to minimize non-production waiting time and coordination costs. Subsequently, to meet the collaborative needs of harvesters, this paper develops a discrete multi-objective Jaya optimization algorithm (DMO-Jaya), which combines an opposition-based learning mechanism and a long-term memory library to obtain scheduling schemes suitable for agricultural environments. Experiments show that the studied model can schedule harvest-aid vehicles without conflicts. Compared to the NSGA-II algorithm and the MMOPSO, the DMO-Jaya algorithm demonstrates a better diversity of solutions, resulting in a shorter non-productive waiting time for harvesters. This research provides a reference model for improving the efficiency of vegetable harvesting and transportation.

Spatio-temporal Dynamics of Land Use/Cover Change and Associated Carbon Stocks in Kanyabaha Wetland in Rukiga District, Uganda

Wetlands play an important ecological function of sequestering atmospheric carbon dioxide and thereby moderating adverse impacts of climate change. It is therefore important to understand the dynamics of carbon stocks in wetland vegetation and soils. This study investigated the spatio-temporal dynamics of aboveground, belowground, and total carbon stocks in Kanyabaha Wetland, located in Rukiga District, Uganda, spanning from 1990 to 2021. Through field sampling and laboratory analysis, aboveground carbon stocks were assessed by harvesting vegetation biomass and converting it to carbon stock using established conversion factors. Soil samples collected at different depths (0-20cm, 20-50cm, 50-100cm) were analyzed for soil organic carbon content to determine belowground carbon stocks. The study reveals variable spatio-temporal patterns of carbon stocks across land use types, with papyrus-dominated areas exhibiting the highest aboveground carbon stocks (49.66 tC/ha), followed by small-scale farmlands (33.73 tC/ha) and tree plantations (23.01 tC/ha). Conversely, built-up areas exhibit the lowest carbon stocks (1.29 tC/ha). Temporal analysis reveals fluctuating patterns in carbon stocks, with increases observed in built-up areas and small-scale farmlands, and decreases in grasslands and tree plantations that could be due to changes in hydrological cycle. Belowground carbon stocks follow similar trends, with papyrus areas maintaining the highest stocks (39.96 tC/ha), particularly at deeper soil depths that exhibit the highest carbon accumulation due to its extensive network of papyrus rhizome. Changes in land use, especially reclamation of the wetlands for farming and settlements affected carbon capture and storage in the wetland ecosystem. These findings highlight the importance of targeted conservation of natural wetlands and sustainable land management strategies in the Kanyabaha Wetland catchment for enhanced carbon sequestration. Further, in depth studies in the variability of carbon stocks due to various eco-climatic factors and anthropogenic activities are necessary to support sustainable wetland land management practices in Uganda.

Jaringan Sosial dalam Sistem Agribisnis Sayur: Peran Pertukaran Sosial dalam Membentuk Kemitraan yang Berkelanjutan

This research explores the pivotal role of social exchange in shaping sustainable partnerships between vegetable farmers and customers in Dusun Wayari. Within the framework of a qualitative approach with in-depth interviews as the research method, this study identifies two primary dimensions of social relations within the vegetable agribusiness system in Dusun Wayari: the associative dimension and the disassociative dimension. The research findings indicate that social exchange plays a central role in establishing close relationships between vegetable farmers and customers. During the process of ordering and harvesting vegetables, the interdependence between farmers and customers serves as a strong foundation for mutually beneficial social relations. Farmers provide high-quality products, while customers offer financial support and long-term commitment. This study underscores that social relations based on social exchange play a key role in creating sustainable partnerships in the vegetable agribusiness. In addition to benefiting farmers and customers, these relations also contribute to the collective well-being within the local community. Therefore, a deeper understanding of social relations within this agribusiness system has the potential to provide valuable insights and practical guidance for the development of sustainable business models in agriculture and other local business sectors.

Analysis of IoT adoption for vegetable crop cultivation: Multiple case studies

This study aims to fill a gap in the literature regarding the interrelationship between agricultural modernization and the internet of things (IoT), particularly in vegetable crop cultivation. Therefore, it focuses on understanding the barriers to and enablers of IoT adoption in planting and harvesting vegetables. We built a theoretical framework that incorporates the constructs of individual and organizational technology adoption models, linking behavioral, technological, organizational, and environmental factors. The framework is supported by the technology-organization-environment (TOE) and unified theory of acceptance and use of technology (UTAUT) models. We conducted in-depth interviews with 15 producers, three agricultural sector experts, and four suppliers. The results showed that only established producers implemented technology, indicating that organizational factors are decisive for the adoption of the IoT. Thus, the producer's size, knowledge, management level, and investment power affect IoT adoption. The theoretical model needs to be assessed according to producers' size, thereby revealing that organizational factors directly influence producers' behavioral issues.

Efficiency of the technological process of the machine-tractor unit for harvesting vegetables

The article presents aggregated indicators with a quantitative ranking of values according to the main criteria of the technological process of harvesting. A method for determining these criteria is proposed. The main principle of a comprehensive assessment of the effectiveness of the use of machines for harvesting root crops is applied, which is based on obtaining the values of a set of private indicators. The factors influencing the quality of the technological process of harvesting have been established. Mathematical modeling of the calculation of the generalized coefficient of efficiency of harvesting vegetable crops was carried out and its numerical values were determined.

Strike the Hammer: The Black Freedom Struggle in Rochester, New York, 1940–1970

Drawing on oral histories and archival material, Strike the Hammer reconsiders historians' understanding of riots, the relationship between Black power and Black capitalism, corporate responsibility, and the importance of smaller cities in the Black freedom movement. Laura Warren Hill argues Rochester's July 24, 1964, riot transformed the city into “an important laboratory, and national model” in a “quest for the new Black political economy” (p. 2). Rather than an incident of mindless looting and burning, it was an uprising—a “state of war” “hand-to-hand combat” in the streets (p. 55). It was a militant protest with a “heart and head” against the “unholy trinity” of poor housing, police brutality, and unfair economic practices (pp. 66, 54). The uprising was not an end, but a beginning, for Rochester and the nation. Strike the Hammer rethinks the Black freedom movement and Black capitalism. Most uprisings were not in major urban centers. Rochester was a small city with a small Black population fueled by an “East Coast Migrant Stream” that brought Black workers north to harvest vegetables and fruit (p. 13). Black Rochester sidestepped divisions seen elsewhere, with the local National Association for the Advancement of Colored People welcoming Malcolm X and the Nation of Islam protests against police brutality (pp. 33–34). Following Peter B. Levy's The Great Uprising (2018), Hill reconsiders the label “riots,” arguing uprisings were willful and deliberate; “insurgents” were not only young men but also women and the elderly (pp. 56, 67).

Evaluation of Comparative Field Studies for Root and Onion Harvester with Variable Angle Conveyor

The long-term storage of vegetable crops and potatoes in storage, even with a small content of soil and plant impurities in the heap, does not ensure the preservation of the required quality indicators of marketable products. The lack of modern technological foundations for improving the design parameters of machines for harvesting vegetables and potatoes leads to the impossibility of eliminating the loss of root crops, their damage, as well as the high-quality process of cleaning from impurities. This circumstance is due to the fact that modern technologies and technical means of harvesting root crops and onions are not able to provide high-quality marketable products with minimal labor costs. In this regard, a modern separating system of the harvesting machine has been developed, which ensures the variation of technological parameters under changing conditions for the harvesting of root crops and onions. The experimental studies of the developed harvester with an experimental separating system made it possible to ensure the high-quality harvesting of potato and onion tubers with the following parameter values: a completeness of separation of more than 98% and a damage to products up to 1.7%, at a speed of movement of 1.7 m/s for the separating system; a completeness of separation of more than 98% and a product damage of up to 1.1% at a speed of up to 1.0 m/s for the harvester; and a separation completeness of more than 98% and a product damage of up to 1.4% at a commercial product extraction depth of 0.02 m. The results of comparative studies on the quality indicators of the machine for harvesting root crops in the harvesting of potato and onion tubers are presented, indicating the prevailing values of the quality indicators of work in the harvesting of potatoes, depending on the change in the regime indicators of the quality of work.

Model of artificial neural network in increasing the efficiency of harvesting potatoes by quality embedding of the planting material

The technological process of the harvester operation, regardless of the harvesting technology, is achieved, among other things, by the high-quality preparation of the field for harvesting vegetables and potatoes. It has been established that the exclusion of the content of soil and plant impurities in the harvested products contributes to an increase in its storage, which cannot be ensured if there are free tops and weeds in the heap up to 2 ... 4%. At the same time, in order to exclude the ingress of soil impurities to the cleaning devices of the harvesting machine, it is necessary to ensure the high-quality work of the digging working body of root and tuber crops with underground fruiting. In addition, due to the fact that the performance of the root-extracting and separating devices of the harvesting machine is affected by the work of the furrow-closing working bodies of the planting machine, since the imperfect process of planting tubers in the furrow with soil leads to uneven maturation of tubers, as well as an increased rise of the soil layer during cleaning. The results of studies on the development of a functional diagram of a machine for planting potato tubers in the form of an artificial neural network, dependencies for determining the predictive indicators of the quality of the machine for planting potatoes, optimal technological parameters of a disk incorporating body for determining the amount of soil required for high-quality incorporation of potato tubers are presented.

ОРГАНИЗАЦИЯ ХРАНЕНИЯ ОВОЩЕЙ В ЛЕЧЕБНО-ИСПРАВИТЕЛЬНОМ УЧРЕЖДЕНИИ СИСТЕМЫ ФСИН

The issues of the organization of rational storage of food products supplied for the needs of the penal system for the purpose of food supply of the special agent are considered. Much attention is paid to the development of a warehouse economy in the direction of storing plant-growing products included in the medical nutrition standards of people in medical and correctional institutions. To study the rational storage of vegetable products received for the needs of the penal system, the entire system of the warehouse management of the medical institution was analyzed in order to identify possible storage of vegetable products for a longer time than prescribed in regulatory legal acts by reducing natural loss. The economic efficiency of the warehouse economy is analyzed on the example of a typical medical correctional institution operating in one of the territorial bodies of the Federal Penitentiary Service of Russia in order to possibly find money savings associated with the process of storing vegetables. The main directions of the warehouse economy functioning are considered. The general characteristics of the warehouses of the medical and correctional institution are given. The volumes of harvesting vegetables for 2019-2021 in a medical and correctional institution are characterized. The norms of natural loss for such vegetable products as: late fresh carrots, fresh food potatoes (late), fresh beetroot (late), fresh white cabbage (late) are calculated. It follows from the analyzed directions that the largest storage areas of vegetable products are occupied under potatoes, since in accordance with regulatory legal acts, the name of this product is included in the catering of the special ingredient in a larger volume and it is advisable to keep these products fresh for a long time, while avoiding the purchase of fresh harvest at a more expensive price. A similar analysis was carried out for vegetable products included in the norms of food security. The dynamics of changes in natural loss by month in percentage terms of vegetable losses is shown. Ways to reduce natural attrition in medical and correctional institutions of the Federal Penitentiary Service of Russia are outlined.

Seasonal Changes in Phosphorus in Soils and Vegetation of Vegetated Filter Strips in Cold Climate Agricultural Systems

Vegetated filter strips (VFS) are a best management practice, designed to reduce sediment and nutrient runoff to surface waters in agricultural landscapes. In cold climates, phosphorus (P) can be released from VFS vegetation when it undergoes freeze–thaw cycles, making their utility in these regions an area needing further study. Research in Manitoba, Canada, investigated temporal changes in soil P concentrations and potential P loss from VFS from 2015 to 2017. Soil, harvestable vegetation, and residue samples were collected within VFS and control strips, and soils were analysed for Olsen P and Total P (TP). Harvestable vegetation and residue samples were analysed for TP. Results showed increases in Olsen P each spring and reductions each fall in soils at all sites. There was substantial loss of TP from the harvestable vegetation samples at all sites from November 2016 to May 2017, but residues in the VFS and control sites had a lower loss of TP over the same period. Vegetation was shown to release P over the winter into surface soils, and harvestable vegetation released significantly more P than residue, potentially leading to P loss from soils through surface runoff or leaching. Thus, harvesting vegetation may be a suitable VFS management strategy in cold climates.

Vegetation Growth Monitoring Based on BDS Interferometry Reflectometry With Triple-Frequency SNR Data

An emerging microwave remote sensing technology, global navigation satellite system interferometry reflectometry (GNSS-IR) shows excellent application potential in vegetation remote sensing due to its all-weather and high temporal resolution characteristics. Previous studies for GNSS-IR have mainly concentrated on the Global Positioning System (GPS) SNR data.Because of the similarity between GPS and BDS (Beidou Navigation Satellite System), the signal of BDS can also be impacted by vegetation, which however, has not been comprehensively researched. Therefore, this letter acquires normalized amplitude of the BDS SNR data based on triple-frequency SNR observations collected by two stations with different vegetation types. To reveal the impact of different vegetation growth conditions on the BDS multi-frequency signals, we conduct a comparative analysis with normalized difference vegetation index (NDVI) data obtained by Sentinel-2 and Moderate-resolution Imaging Spectroradiometer (MODIS) imagery, respectively. The outcomes demonstrate that the normalized amplitude of the BDS signal exhibits a strong association with Sentinel-2 NDVI, with correlation coefficients varying from 0.69 to 0.83 and 0.78 to 0.84 at P041 and P105, respectively. In addition, it is the first time discovered that harvesting vegetation around the stations leads to a cliff-like decrease in normalized amplitude. Compared with optical remote sensing vegetation monitoring methods, BDS-IR shows significant temporal resolution and sensitivity advantages. This finding may promote vegetation monitoring, vegetation protection, and other related research fields.

Accumulation and human health risk assessment of nitrate in vegetables irrigated with different irrigation water sources- transfer evaluation of nitrate from soil to vegetables

The present study aimed to investigate the rate of accumulation, human health risk assessment, and nitrate-related transfer factor in vegetables irrigated with different sources, including treated wastewater effluent (TWE) of Kermanshah wastewater treatment plant, Gharasoo river water (RW) of Kermanshah, and well water with chemical fertilizer (WWF). For this purpose, three different types of vegetables, including basil, coriander, and radish, was cultivated, and each of them was irrigated by the three irrigation sources mentioned above. Finally, the amount of nitrate in different sources of irrigation, soil (before growing vegetables and after harvesting vegetables), and the mentioned vegetables was measured. Based on the study results, it can be concluded that the water of the Gharasoo River (RW), compared to the other two irrigation sources, causes more nitrate accumulation in the soil and vegetables grown in it. The highest transmission factor was related to basil vegetables irrigated with WWF. The results showed that the average daily intake of nitrate through the consumption of vegetables grown in Kermanshah with any irrigation water is less than the allowable amount, so the consumption of such vegetables is not dangerous to consumers' health. Therefore, it is suggested that the best irrigation source for vegetable cultivation in Kermanshah is TWE, provided that all of its physical, chemical and microbial parameters meet the standards for reuse in agriculture irrigation. Thus, the use of treated wastewater reduces the need for farmers to use chemical and organic fertilizers and cost-effectiveness, high frequency, and high availability.

Positive Deviance Status Gizi Balita pada Keluarga Miskin di Desa Oeltua Wilayah Kerja Puskesmas Baumata Kabupaten Kupang

Stunting commonly occurs on susceptible groups such as indigent families. However, there are cases where nourished babies are also found in those families despite having financial problems. This type of case is called a positive deviance found among people who are living in poverty. The research aims to explore conditions of indigent families in Oeltua Village with nourished babies. The research was qualitative using a study case approach with the subjects were poor families without stunted children in Oeltua village. The subject were selected based on the purposive sampling technique by applying the case criteria. Instruments used in this research were questionnaires, voice recorders and documentations. Data analysis was conducted by qualitative analysis based on the obtained data from in-depth interviews on the informants. The result showed that the feeding pattern, personal hygiene and given health services for the babies were shown sufficiently good. Families managed to provide good nutritions by buying foods within the household budget and harvesting vegetables from the home garden. In addition, the families maintained good personal hygiene and accessed health services to improve babies nutritional status. The support from health workers were essential in monitoring babies` nutritional status, advising mothers on nutrition and handling malnutrition. The positive deviance behavior needs to be addressed onto families by empowering and sharing among families assisted by public health office and local clinics to improve health status.

The Agonies of Covid 19 on Vegetable Farmers Along the White Volta River Basin in the Upper East Region of Ghana

The emergence of COVID 19 coupled with the enforcement of its safety protocols, coincided with the peak of harvesting and saleof perishable vegetables in the 2020 dry season farming period in the Upper East Region of Ghana.Using a qualitative approach, this study investigates the effects of the pandemic on vegetable farmers along the White Volta River Basin in the Region. The findings are that there weredisrupted supply and demand in the production-consumption chain resulting in low sales; a shortage of hired labor; and high stigmatization. Farmers had few alternatives other than to leave their food stuff to rot on the farm, use the produce to feed livestock, or smuggleof the produce across borders. The implications are that the COVID 19 pandemic compounded the susceptibility of small-scale vegetable farmers in the region. Their resilience and household income levels are adversely affected.

An approach for experiment evaluations for multiple harvests crops based on non-linear regression

ABSTRACT Biologically based growth models can be an alternative in identifying the productive response of multiple harvest vegetables. By interpreting the estimates of the parameters of the models, it is possible to estimate the total production, the rate of fruit production, and the moment when the crop reaches its maximum production potential. Besides, by estimating confidence intervals, these responses can be compared between genotypes or between different treatments. Therefore, the purpose of this manuscript is to present a literature review, and a detailed step-by-step, to interpreting the evolution of the production cycle of vegetables with multiple harvests crops based on non-linear regression. All the requirements that must be met in this type of analysis were presented in detail based on non-linear regression, providing the necessary steps for this type of analysis in details. Demonstration is given using data from strawberry cultivation along with the associated R scripts and interpretation of analysis output in material supplemental. This approach can allow for more relevant inferences than standard means analyses through better examination and modeling of the underlying biological processes.

Aquaponic Biofloc Technology by Swamp Bacteria Probiotic for Clarias Catfish Rearing

Conventional catfish culture in Ogan Ilir (OI) have not optimal production, it can be increased by biofloc and aquaponics with local swamp bacteria as a starter. The purpose of this study was to apply biofloc technology and a combination of aquaponic-biofloc to increase the productivity of catfish (Clarias sp.) rearing. The study used two ponds, a biofloc circular pond and a combined biofloc and aquaponic (biofloqua) for two months. The results of the specific growth rate of fish in the aquaponic biofloc system were higher than that of the biofloc system alone. The survival of the fish during two rearing months of the Biofloqua system was 100% while the Biofloc system was 92-96%. The water quality data that measured were temperature, 30.3–31.9oC, Dissolved oxygen 4.5–7.2 mg.l-1, pH 6-7, and ammonia concentration 0.27-0.71 mg.l-1 in the biofloc system and 29.5-31.3oC, 4.7-7.4 mg.l-1, pH 6-7, 0.20-0.53 mg.l-1 in biofloqua system, respectively. The floc volume formation rate in the biofloc system alone reached 1.1 ml.l-1 per day, which was above the floc formation rate for the biofloqua system 0.42 ml.l-1 per day, due to the use of nutrients for plant growth. The combination of biofloc and aquaponics showed more optimal growth performance and both were efficient in feed (Food Conversion Ratio / FCR <1.00). Although the results of the 5% level t test showed no difference in the performance of the aquaculture biota between the two systems, Biofloqua can be an alternative to increase fish farmer income by harvesting vegetables and fish together.

Realtime Object Detection Masa Siap Panen Tanaman Sayuran Berbasis Mobile Android Dengan Deep Learning

Determining the harvesting period can be done visually, physically, computationally, and chemically. Since the harvesting process is crucial, late harvesting will affect post-harvest and production quality. Leafy vegetables have a relatively short ready-to-harvest period. Visual recognition of the harvesting period combined with image processing can recognize harvesting vegetables' visual characteristics. This study aims to build a deep learning-based mobile model to detect real-time vegetable plant objects such as bok choy, spinach, kale, and curly kale to determine whether these vegetables are ready for harvest. Mobile-based architecture is chosen due to latency, privacy, connectivity, and power consumption reason since there is no round-trip communication to the server. In this research, we use MobileNetV3 as the base architecture. To find the best model, we experiment using different image input size. We have obtained a maximum MAP score of 0. 705510 using a 36,000 image dataset. Furthermore, after implementing the model into the Android mobile application, we analyze the best practice in using the application to capture distance. In real-time detection usage, the detection can be done with an ideal distance of 5 cm and 10 cm.

Comparative chemical composition and rumen degradation of common reed and elephant grass in urban/peri-urban dairying systems in Uganda

ABSTRACT Urban/peri-urban dairying in East Africa used to be typified by elephant grass (Pennisetum purpureum, Schumach) as the primary forage. However, the ever-declining space for farming has made forage cultivation increasingly difficult. As a coping strategy, farmers are harvesting vegetation biomass from natural environment, particularly common reed (Phragmites australis, Cav.) from wetlands. This study aimed to compare elephant grass and common reed in terms of chemical composition and in situ rumen degradation. Samples were collected (in dry and wet seasons) and analyzed for chemical composition, and in situ rumen degradation of dry matter (DM), crude protein (CP), and neutral detergent fiber (NDF) determined. Rumen degradation was determined by incubating triplicate nylon-bagged samples in rumens of three cannulated Ankole–Friesian crossbred steers. The CP content ranged from 10.8% to 16.2% DM (common reed), and 9.9–12.5% DM (elephant grass). Common reed showed lower DM, and ADF compositions, and higher effective rumen degradability of DM, CP, and NDF in both seasons. For both forages, CP content was higher during the dry season, while effective rumen degradability of DM, CP, and NDF were higher in the wet season. In summary, the chemical and rumen degradation results suggest that common reed may be nutritionally superior to elephant grass.

Justification of parameters of the executive drive of a robotic manipulator of a loading and transport unit

To solve the problem of mechanization and automation of loading operations when harvesting vegetables Packed in bags, a loading and transport unit is proposed. A parallel-sequential structure manipulator has been developed for the loading and transport robot. The service area of the pincer grip is obtained from the condition of the specified chassis width. The geometrical parameters of the manipulator boom actuating drive from the condition of providing the required service area are justified. The choice of actuators is based on the condition of minimizing the influence of the maximum value of the force acting on the output link. The analytical dependence of the force on the rod of the Executive actuator on the angle of inclination of the arm of the manipulator is obtained. Graphical dependences of the force on the actuator rod on the angle of rotation of the boom in the form of a three-dimensional surface are constructed. Analytically favorable conditions for the transfer of motion and forces in mechanics are formulated. The quality of motion transmission in the lever mechanisms of the manipulator was evaluated according to the criteria for reducing the pressure angles in the hinges. The description of the loading and transport robot manipulator device is presented. An experimental sample of a parallel-serial manipulator was developed and manufactured. Taking into account the formulated dependencies and limitations allowed us to create a universal prototype of the manipulator, which can be installed on various self-propelled chassis. A system for controlling actuators according to various laws of program movements has been developed. Determining the coordinates of bags of vegetables is determined by the technical vision system.