Resumo em Inglês:

ABSTRACT China's socialized service industry of agricultural machinery emerged as the times required, which resolved the institutional contradiction between small farm households and large-scale agriculture. However, as cross-operation harvesters are still monitored based on phone calls, the monitoring efficiency and real-time performance are relatively poor. To improve the dynamic monitoring accuracy of harvester working areas, we proposed a working progress monitoring method based on harvester traveling trajectory and header status identification. The position and gap bridge angle information of harvesters was synchronously acquired in real-time. The height of the header above ground was calculated to determine whether the harvester was harvesting on a valid trajectory. Finally, the valid trajectory of the harvester was selected for area calculation. Field experiments showed that the header heights at the working and non-working tracing points collected by the system were discretely distributed at intervals of [0m, 0.5m] and (0.5m, 2m), respectively. The working progress monitoring algorithm proposed in this paper effectively improved the monitoring accuracy of harvester working areas. The mean error between the working areas calculated with identifying the header status and the actual cultivated land area in the five test plots was 0.09 hm2, with a mean error rate of 3.10%, 8.59% lower than that without identifying the harvester header status.

Resumo em Inglês:

ABSTRACT Sesame ( Sesamum indicum L.) oilseed needs to be studied in relation to the production of biodiesel and its application as an alternative to the soybean biodiesel used in Brazil. The aim of this study was to evaluate biodiesel blends (B0, B5, B10, B20, B40, B80, and B100) of sesame in the performance and emissions of engines. A few studies of sesame biodiesel in engines were found in the literature imparts novelty to the current study. The fuels were tested in a 5-kVA generator engine at loads ranging from 1000 to 6000 W. The results of the analysis showed that the increase in the sesame biodiesel blend caused a reduction in the specific fuel consumption (SFC), carbon monoxide (CO) emissions, and an increase in nitrogen oxide (NOx) emissions. The SFC of sesame biodiesel (B100) was 11% higher than that of diesel (B0). CO emissions increased 39% for diesel (B0) compared to sesame biodiesel (B100). However, B20 showed lower SFC than diesel and lower gas emissions than B80 and B100 blends. Therefore, sesame biodiesel, especially up to B20, is a viable alternative for the partial replacement of conventional diesel. Sesame biodiesel should be considered as a promising candidate for alternative fuels.

Resumo em Inglês:

ABSTRACT To solve the problems of low efficiency, poor fertilizer application, and low fertilizer utilization rate of existing wheat layered fertilization devices (LFD). This paper proposed a layered fertilization mode combining shallow fertilizer application based on rotary tillage and middle/deep fertilizer application of layered fertilizer shovel (LFS), and designed a combined spatial layered fertilization device with a fixed proportion. A discrete element simulation model consisting of soil, LFS and fertilizer was established. Taking the variation coefficients of fertilization amount as the evaluation indicator and changing the sidewall deflection angle, rear inclination angle, upper channel length of LFS, a three-factor three-level quadratic rotational orthogonal experiment was carried out. The optimal parameter combination was obtained: the deflection angle was 9.5°, the inclination angle was 57°, and the channel length was 280 mm. The corresponding variation coefficients of fertilizer application depth were 4.55%, 8.44%, and 6.93% while working stably under the optimal combination, which is consistent with the simulation results. The results showed that LFD can apply fertilizer underground in three layers: 0~10, 15, and 20 cm, with the proportion of shallow, middle, and deep fertilizers being 30%, 35%, and 35%, which can meet the agronomic requirements for winter wheat growth.

Resumo em Inglês:

ABSTRACT The vertical wall attached jet ventilation has the advantages of good air supply quality, low energy consumption and uniform air distribution, which can improve the environmental quality, reduce heating energy consumption and increase the healthy brood rate when applied to the gosling house in cold region. In order to investigate the distribution of the air flow field and the temperature field in the gosling barn by the computational fluid dynamics method, the three-dimensional steady state simulation of the air flow field and the temperature field is carried out in this study. The results show that the maximum air velocity in the living area of goslings exceeds 0.5m/s when the air supply velocity is greater than 1.8m/s, and goslings feel blowing. When the air supply velocity is lower than 0.8m/s, the average air velocity in the gosling living area is lower than 0.2m/s, and the ventilation is insufficient. When the air supply velocity v=1.5m/s and temperature t=305.15k, the average air velocity in the gosling living area was 0.40m/s, the average temperature was 305.20k, the horizontal sticking range of the air supply air was 7.0m, the Air Diffusion Performance Index of the gosling house was 100%. Ventilation is the best.

Resumo em Inglês:

ABSTRACT Research on the classification and identification of crop diseases and pests can help farmers quickly prevent crop diseases and pests. A crop disease and pest identification model based on adaptive chaotic particle swarm optimization algorithm is raised. The model introduces swarm intelligence algorithm to optimize the features of image extraction. Then the adaptive inertia weight is used to improve the optimization performance of PSO, and the support vector is used to accurately classify crop pests and diseases. Finally, the model is trained by simulation experiment to evaluate the performance of the model and analyze the performance. The model has a good performance in the experiment, the model has a clear recognition effect in the color feature extraction of pests and diseases, and the recognition accuracy is 95.08% after combining the texture feature. Moreover, in the visual transformation of 20¡ã-40¡ã, the recognition accuracy of the model is above 90%. In practical application, the average accuracy of the model is 91.78%, which is 3.71% higher than that of the comparison algorithm. In comparison experiments, the classification accuracy of the proposed models is above 90%. The experimental outcomes denote that the proposed algorithm has good effectiveness in identifying crop diseases and pests.

Resumo em Inglês:

ABSTRACT All horticultural regions of the world have fundamentally developed in the programmatic era through farmer impact and imaginative development practices. The methods described are used to monitor satisfaction and crop yields. Because of the quality of the soil and the nourishment of the land, their cultivation has improved and created more money. The disadvantage is that it took them a long speculation to acquire the crops, and the level of nutrition was not usually put at its obvious level. In addition, many areas were devoted to production, which required a lot of work to treat the whole area. In order to control the time and methods well, the majority of the regions switched to careful development principles with IoT structures. Growing on water is the most progressive strategy to grow natural plants, vegetables and fruits without using land. The use of Rockwool in agricultural strategies where water contamination is possible for a certain period will result in huge yields and the requirement of longer growing times will be waived. Most of the countries that have practiced smart and economic development with little external intervention. IoT sensors are used in the water cultivation development system to test the situation and quality of yields continuously. They will effectively provide information to the whole system when the water or nutrient level has dropped. In the beginning, the development of hydroponics was done horizontally in small spaces in order to maintain the water flow. Today, it is applied on a vertical structure to save space and water flows when needed. With this method, yields are likely to be achieved even more space-efficiently and with little external intervention. Vertical hydroponics performs better than previous conventional approaches; perhaps the farmers in the extension unit have considered the cost of the total layout. This evaluation paper describes the use of procedures and development of automated methods using IoT platforms. Many reference materials can be used big data.

Resumo em Inglês:

ABSTRACT Different mechanical configurations of diesel engines, when powered by biogas, can influence engine performance and efficiency. Consequently, this study aims to evaluate various generator engines to determine the optimal configuration for a distributed generation unit at a swine farm. In this study, we assess the biogas consumption, specific consumption, and efficiency of five biogas generator engines. Three engines (A, D, and E) were provided by Biogás Motores Estacionários, while the remaining two (B and C) were provided by Electro Hager models and MWM, respectively. The biogas used was produced in plug flow biodigesters (piston flow) by the treatment of swine waste. Engine A, provided by Biogás Motores Estacionários, exhibited specific consumption at a power of 30 kW (low load) similar to engines B and C. However, engines B and C displayed higher efficiencies at high loads compared to engines A, D, and E, attributed to their advanced fuel injection and control systems.

Resumo em Inglês:

ABSTRACT Spray drift leads to wastage of spraying material and poses a threat to non-targeted crops and the environment. Therefore, the spray drift characteristics of a Ronnie Baugh (RB) tractor-trailed boom sprayer were determined through computational fluid dynamics to assist in designing the tractor for boom spraying with minimized spray drift. The wake region of the RB tractor was characterized by investigating its velocity profile, turbulent kinetic energy, and drag coefficient at different forward speeds. Additionally, spray droplet sizes and drift distances from the boom sprayer were measured at forward speeds of 4, 6, and 8 km/h, along with different wind directions. The RB tractor exhibits an estimated drag coefficient of 0.7. The results further demonstrate that, at varying forward speeds, the wake experiences low turbulent kinetic energy and minimal velocity profile variations. No spray drift was observed at tractor speeds below 4 km/h, whereas a drift of 0.19 m and 0.33 m is predicted at 6 km/h and 8 km/h, respectively. The tractor's wake is significantly influenced by changes in wind direction, resulting in varying drift distances from each nozzle due to exposure to both free and obstructed airflow. To minimize drift at higher travel speeds, it is recommended that the tractor be operated in line with the prevailing wind direction.

Resumo em Inglês:

ABSTRACT The traditional way of harvesting lotus root consumes a lot of labor and has low harvesting efficiency. Therefore, it is necessary to explore the automated harvesting device of lotus root. And the physical and mechanical properties of lotus root are crucial for the design of harvesting device. In this study, the mechanical properties of "Baoying Beauty Red" and "E-Lian No.7" lotus roots in different positions were tested by compression, bending and tensile methods. The results showed that the mechanical properties of "Baoying Beauty Red" were better than those of "E-Lian No.7", which were not easy to be damaged during harvesting, and the minimum compressive strength of "Baoying Beauty Red" was 4.04 MPa, the minimum bending force of lotus root breakage was 97 N, and the minimum tensile force was 182.73 N.