Row Planting Research Articles

Photosynthetic Rate Prediction Model of Golden Melon Plant (Cucumis melo L.) at Vegetative Phase in Greenhouse using Artificial Neural Networks

The most critical parameter affecting plant growth is the photosynthetic rate. The parameter can be determined by measuring the rate of CO2 assimilation that occurs in plants. Developing a photosynthetic rate model can recommend proper cultivation maintenance in melon plants. Hence, the involvement of input parameters in the developed model affects the accuracy of the prediction. This study aims to develop an artificial neural networks (ANNs) prediction model of the photosynthetic rate of melon plants in the vegetative phase in the greenhouse based on seven environmental and growth parameters and find the best model structure. Model development uses artificial neural networks with several stages: data collection and pre-processing, model development with different input variations, model validation, and selection of the best scenario to predict photosynthetic rate. The results showed that five out of seven input parameters, i.e., air temperature, sunlight intensity, CO2 concentration, air humidity, and plant rows, in the model structure of five inputs, six hidden and one output were the best model scenarios with coefficient of determination (R2) and root mean square error (RMSE) of 0.986 and 0.420, respectively.

Plant Density Recommendations and Plant Nutrient Status for High Tunnel Tomatoes in Virginia

Open-field tomatoes in Virginia are traditionally planted in a single row with 2 ft (0.60 m) of in-row spacing, resulting in a plant density of 4356 plants per acre (10,890 plants/ha). However, there has been increasing interest among small and medium-sized farmers in high tunnel production. In order to be profitable, farmers must maximize their yield per unit area and take advantage of the potential benefits of producing under high tunnels. A common approach under greenhouse conditions is to increase the planting density to enhance yield per area. However, high tunnel farmers often extrapolate open-field practices to their high tunnels as they believe both systems are closer related together than to greenhouse production. In those cases, high tunnel farmers could potentially be neglecting yield increases due to their planting density selection. Additionally, irrigation and fertilization management (fertigation) under high tunnels tend to be more efficient than open-field systems, as the frequency of application is increased with a lower volume per application. A higher efficiency of fertigation could alter plant yield responses, especially under traditional planting-density systems. Hence, this study aimed to identify the effect of high planting density on high tunnel tomatoes and their nutrient status on the Eastern Shore of Virginia. The experiment was established on a completely randomized block design with four replications, with 20 ft (6.09 m) experimental plots. We evaluated the combination of two in-row distances and single and double planting rows, with treatments consisting of 2 ft of in-row distance in a single row (4356 plants/acre—current open-field recommendation), 1.5 ft (0.45 m) of in-row distance in a single row (5808 plants/acre [14,520 plants/ha]), 2 ft of in-row distance in a double row (8712 plants/acre [21,780 plants/ha]), and 1.5 ft of in-row distance in a double row (11,616 plants/acre [29,040 plants/ha]). Summer-grown tomatoes produced on the Eastern Shore of Virginia under high tunnel conditions should be planted with 2 ft of in-row spacing and with a single row of plants per planting bed. Increasing the plant density or modifying the current recommended plant distribution could result in yield losses per plant between 32% and 46% and substantial increases in production costs compared with the traditional planting density. Throughout all treatments, tomato plants did not show deficient nutrient status. We hypothesized that irrigation water and pollination were the limiting factors that promoted a decrease in yield per plant for the high-density treatments.

Pre-scaling up of ground nut varieties in selected districts of West and Kellem Wollega zones, Ethiopia

The study was conducted in Dale sadi, Dale wabera and Sayo districts of Kellem wollega Zone and Gimbi districts of west Wollega zone for two consecutive years of production(2016/17 and 2017/18 G.C ) on farmers’ field. The objective of the study was to pre-scale up and popularize the best-performing and preferred groundnut variety in the study area. The study addressed a total of 90 farmers in the two years of the project span. From a total of 90 farmers, male represents 73 and female 17. During farmers’ selection process, both female and male farmers were incorporated so as to avoid gender bias. Training was given to the selected farmers, development agents and district experts about improved groundnut technologies production and management. Full packages of the technologies were provided. Variety Manipinter was planted on plot area of 0.25ha on respective farmers’ field in the study area. The recommended rate of NPS 100kg/ha and Row planting method with the spacing of 60cm between rows and 10cm between plants were used respectively. To enhance farmer’s knowledge on Groundnut training was given for target community on agronomic practice of Groundnut. During training a total of 117 target communities were participated on training out of which 84 were male and 33 were male. An average production of 14.935 qt/ha and a total of 336 quintal of groundnut yield was harvested during project life span. Finally, farmers feedback concerning technology was collected and incorporated, accordingly the farmers feel as the Manipinter have relatively high yield, good seed quality (Grain size, color), disease tolerant than previously used varieties. Generally, since it is impossible to address all farmers only by the effort of the research center, district agriculture and natural resource bureau in collaboration with zonal agricultural and natural resource office and input supplying NGO’s should hold the turn to scale up the technology in wider scale. Res. Agric. Livest. Fish. Vol. 10, No. 2, August 2023: 147-153

Evaluation of Drip Lateral Spacing on Yield and Economic Return of Onion (allium cepa l.) at Awash Melkassa, Ethiopia

Water availability is becoming a critical issue in Ethiopia in semi-arid climate mainly in Rift Valley areas. Field experiment was carried out during the dry cropping season of 2019/2020 to evaluate the performance of drip lateral spacing on onion yield and its net return with two adjustments of drip lateral spacing at full irrigation application viz., lateral placed in every row and between two rows. The performance of drip lateral spacing system was evaluated on the basis of parameters like emitter flow rate (q), emission uniformity (EU), emitter flow rate (qvar), coefficient of variation (CV), uniformity coefficient (CU). The mean values of upper, middle, and lower lateral spacing showed non- significant (P ≥ 0.05) difference in emission uniformity of drip lateral spacing. An average emitter uniformity parameter value was 93.66%, 96.28%, 12.05 %, 1.68 % for emission uniformity, uniformity coefficient, emitter flow variation and coefficient of variation respectively. The designed drip lateral spacing was operated excellently as all values of emitter uniformity parameter were in the recommended range in each case. The average basic infiltration rate was found to be 18 mm/hr. From the result, onion yield and yield parameters was affected by the effects of drip lateral spacing. Maximum onion bulb yield of 41.44t ha-1 and 25.83t ha-1 were obtained from lateral spacing in every row and between two rows respectively. Total bulb yield was reduced by 37.65% when drip lateral between two rows was used. But the cost of drip lateral between two onion plant rows was 26.14% less than drip lateral in every onion plant rows. Therefore, onion could be irrigated by drip lateral spacing in every row to get better onion bulb yield.

Rice Growth and Physiological Response in The Salibu Cultivation System

By expanding the harvest index from 2 to 3 or even up to 4 harvests in a year, Salibu aims to boost land production. Using the legowo cropping system, two rows of rice plants are planted together to create a large chamber that extends in one direction. In order to determine which varieties are best for rice’s Salibu and to establish a pattern of relationships between characteristics and grain weight yield per clump of rice plants, this study will examine the physiological and growth characteristics of the five rice varieties in the first Salibu of the Legowo planting system. This study used a split-plot design with four replications and a fundamental design of Fully Randomized Block Design (CRBD) in Karang Tengah Village, Purbalingga. Inpago Unsoed 1, Inpari 24, Inpari 32, Inpari 43, and Logawa were the kinds that were used. The findings demonstrated that the amount of chlorophyll, flowering duration, and panicle length were significantly influenced by variety. Stomatal density, the number of active tillers, and the number of grains were traits that were tightly connected and had a significant direct impact on yield. Consequently, these traits could be employed as selection indications for rice with high yield.

Study of rice varieties, fertilizer application, and planting system on rice production in irrigated rice

In Indonesia, increasing rice production to achieve food security is a top priority. To maximize rice production, researchers are still looking for the best and most efficient technology. The goal of this study was to see how different rice varieties, fertilizer applications, and row planting systems affected rice production. The activities took place in Pulau Gambar village, Serba Jadi district, Serdang Bedagai regency, from April 2021 to January 2022 for two planting times (PT). PT.I used varieties of Inpari 30, 32, and Mekongga, legowo row planting system (2:1), (4:1), and Tegel, application of granulate organic fertilizer (GOF) at 400 kg ha-1, natural organic fertilizer (guano) at 100 kg ha-1, NPK fertilizer (15-15-15) at 300 kg ha-1, and Urea at 200 kg ha-1, and PT.II used varieties of Inpari 16, 32, 43, and Mekon The results showed that using Inpari 32 varieties with a combination of organic and inorganic fertilizer and a legowo 2:1 raw planting system was the best treatment for irrigated rice in North Sumatra.

Association of cropping practices, cropping areas, and foliar diseases of common bean (Phaseolus vulgaris L.) in Ethiopia

Common bean production is being constrained by a number of diseases. The survey was carried out to prioritize common bean diseases and their associations with cropping areas and cultural practices. A stratified random assessment on 114 farmer's fields was conducted in Ethiopia's four common bean producing zones (Metekel, Sidama, Wolaita, and Halaba). Data are collected randomly on disease severity, incidence levels, and agronomic practices. The results revealed that eleven foliar diseases were found to affect common bean production. Among them, the maximum disease severity and distribution was scored for angular leaf spot (Pseudocercospora griseola) (mean disease severity of 17.8%) and bean anthracnose (Colletotrichum lindemuthianum) (10.9%) followed by floury leaf spot (Mycovellosiella phaseoli), ascochyta blight (Ascochyta phaseolorum Sacc), and web blight (Thanatephorus cucumeris). A multiple correspondence analysis was conducted, and revealed a significant association between the diseases, cropping areas and cultural practices. Optimal crop density was found to be associated with lower bean anthracnose and mosaic virus severities, while being liked to high levels of angular leaf spot and frog-eye leaf spot. Additionally, optimum sowing dates were associated with low severities of bean anthracnose, angular leaf spot, frog-eye leaf spot, Halo Blight, and mosaic virus. On the other hand, a high weediness level was found to be associated with higher levels of web blight and bean anthracnose. Intercropping and row planting were obtained to reduce angular leaf spot and increase occurance of ascochyta blight compared to monocropping. Furthermore, row planting were found to decrease bean anthracnose, angular leaf spot, and cercospora leaf spot when compared to broadcasting. The application of fertilizer was found to decrease the occurances of bean anthracnose, halo blight, floury leaf spot, and angular leaf spot. Therefore, efforts should focus on the optimization and integration of cultural practices for managing disease and producing common bean sustainably.

Arthropod Diversity in Soybean (Glycine max (L.) MERRILL) with Tagetes erecta

Habitat manipulation aims to conserve insect population on agricultural landscapes by augmenting and conserving the population of natural enemies of pests or biological control agents. The study aimed to evaluate the effect of habitat manipulation on the yield of soybean by assessing the population of insects and other associated arthropods. Companion planting of Tagetes with soybean using inter-row and border row planting designs was followed. A total of 4, 388 individuals representing 11 insect Orders, and 128 species were collected through net sweeping and yellow sticky board traps. These two methods of insect collection were further compared using the two-planting designs. Border row planting design revealed a low population of insect pests, and thus better than the inter-row design. Also, higher number of biological control agents such as coccinellids was found in these plots than in soybean inter-row with Tagetes erecta, and soybean alone.

Effect of Planting Methods and Planting Density on Growth and Yield of Sesame in Non-saline Area of Patuakahali, Bangladesh

The planting methods and planting density influence the growth and yield of crops. A field experiment was conducted with split-plot design using two planting methods (row and broadcast) and four planting densities (40, 50, 60, and 70 plants m-2) to observe the effect on yield and yield attributing characters of sesame in the field laboratory of Agronomy Department in Patuakhali Science and Technology University. The yield and yield components were significantly affected by planting methods. The row planting method showed higher yield and yield components than the broadcasting method. The yield and yield components were also affected by planting density. The plant height, the number of branches plant-1, the number of capsule plant-1, and 1000 seed weight were reduced with the increase of planting density except for yield. The highest yield (1358.0 kg ha-1) was obtained from 60 plants m-2 in the row planting method. Row planting method with 60 plants m-2 could be recommended for better yield of sesame.

Rubber Tree Recognition Based on UAV RGB Multi-Angle Imagery and Deep Learning

The rubber tree (Hevea brasiliensis) is an important tree species for the production of natural latex, which is an essential raw material for varieties of industrial and non-industrial products. Rapid and accurate identification of the number of rubber trees not only plays an important role in predicting biomass and yield but also is beneficial to estimating carbon sinks and promoting the sustainable development of rubber plantations. However, the existing recognition methods based on canopy characteristic segmentation are not suitable for detecting individual rubber trees due to their high canopy coverage and similar crown structure. Fortunately, rubber trees have a defoliation period of about 40 days, which makes their trunks clearly visible in high-resolution RGB images. Therefore, this study employed an unmanned aerial vehicle (UAV) equipped with an RGB camera to acquire high-resolution images of rubber plantations from three observation angles (−90°, −60°, 45°) and two flight directions (SN: perpendicular to the rubber planting row, and WE: parallel to rubber planting rows) during the deciduous period. Four convolutional neural networks (multi-scale attention network, MAnet; Unet++; Unet; pyramid scene parsing network, PSPnet) were utilized to explore observation angles and directions beneficial for rubber tree trunk identification and counting. The results indicate that Unet++ achieved the best recognition accuracy (precision = 0.979, recall = 0.919, F-measure = 94.7%) with an observation angle of −60° and flight mode of SN among the four deep learning algorithms. This research provides a new idea for tree trunk identification by multi-angle observation of forests in specific phenological periods.

Integrated systems improve the sustainability of soybean cultivation in the tropical region

Inter-cropping between annual crops with tropical forages through integration crop-livestock systems (ICL) is considered a sustainable option to increase crop diversity and soybean productivity. In this study, we evaluated (1) the biomass production, desiccation efficiency, nutrient accumulation, and biomass decomposition of soil crop residues produced by Panicum maximum plants intercropped with maize in two different sowing methods during the second harvest and (2) investigated how soil crop residues impact the productivity of soybean. The experiment was conducted in a complete block design with three replicates. We compared conventional soybean cultivation with soybean cultivated over soil crop residues produced by a previous integration between maize and two Panicum maximum cultivars: Tamani and Zuri guinea grass, within and between rows of maize plants. Our results showed that Tamani guinea grass showed the highest desiccation efficiency. Zuri and Tamani guinea grass cultivated within and between maize plants resulted in higher biomass production and nutrient cycling potential, resulting in an increase of 28.4% in soybean productivity, compared to soybean grown without soil crop residues. We concluded that ICL system is an efficient method to increase the sustainability of soybean cultivation.

The effect of irrigation management on rice grain yield, irrigation water productivity and methane emissions in northern Iran

AbstractThis experiment aims to study the effect of water‐saving irrigation on rice production and methane emissions. Three irrigation methods, that is, flooding irrigation, deficit irrigation (DI) and alternate partial root‐zone drying (APRD), were employed in a 2‐year field trial. The experiment was conducted in a randomized complete block design with three replications. For the DI and APRD treatments, plots were not irrigated until the soil matric potential reached −10 (DI10 and APRD10), −30 (DI30 and APRD30) and −60 kPa (DI60 and APRD60). In the APRD treatments, two adjacent furrows of each plant row were alternately irrigated in consecutive irrigation events. The DI and APRD treatments did not affect yield components when the soil matric potential was −10 kPa. Applying APRD treatments increased irrigation water productivity by 45%, 51% and 31% for soil matric potentials of −10, −30 and −60 kPa, respectively. On average, water stress treatments reduced methane emissions by 78% compared to flooding treatment. On average, the APRD treatments decreased the water input by 10% compared with the DI treatments while achieving a 2.5% higher yield. This is the first study to outline the effect of APRD on methane emissions and rice production. These findings suggest that APRD could be a valuable strategy to mitigate methane emissions without risking rice yield reduction.

Validation and Evaluation of the Existing Agronomic Practices for Chickpea Productivity around West Arsi Zone of Shashemene Wereda

The activity was conducted around Shashemene wereda of selected kebele in 2022/23 main cropping season, to validate and evaluate crop management (agronomic) practices for adopting chickpea production on the small holder farmer’s field. The study was conducted on selected farmer’s field, then training and awareness were created about the experiment before we established on selected host farmer’s field. The farmers handled all activities by their own local chickpea agronomic management practice on their own farm. However, the research recommended agronomic practice were carried out by the researchers. We already organized the field day two times i.e., at the time of sowing and while harvesting of chickpea. The participants were actively and seriously evaluated the difference between treatments (local farmers practice and research recommended agronomic practice). Producing of chickpea by row planting, NPS fertilizer application, apron star seed treatment and on time fungicide or insecticide application is much better than their local management practice. So, chickpea sown by recommended management practice has showed better performance. The recommended agronomic practice enables to obtained the maximum grain yield (2,030 kg ha-1 and 1,552 kg ha-1) from both Teketay and Natoli varieties respectively. The result of our economic analysis forced to conclude that, planting of chickpea with row spacing, fertilizer application, apron star seed treatment is more economical and advantageous than farmer’s local practice.

The Effect of Planting Arrangement, Phosphorus and Nitrogen on Physiological Traits and Guar Yield (Cyamopsis tetragonoloba L.)

Background: The guar, known as Cyamopsis tetragonoloba L., is an annual, summer plant of the legume family and importance of guar as a food, industrial and medicinal product is new in the cultivation pattern. Methods: This combined experiment was conducted as factorial based on a randomized complete block design with three replications during two consecutive years (2020-2021) under the climatic conditions of Jiroft area (Kerman province, Iran) in the farm of research center and agricultural and natural resources education. Three levels of Nitrogen (20, 60 and 100 kg pure nitrogen per hectare) from a source of urea and phosphorus fertilizer at two levels (zero and 75 kg P2O5 source per hectare) and a source of monopotassium phosphate fertilizer and three levels of planting row spacing (30, 45 and 60 cm) equivalent to 47, 31 and 24 plants per square meter, plant density was taken into account. Result: The highest chlorophyll a (2.69 mg/fresh weight), chlorophyll b (1.97 mg/fresh weight) and carotenoid (2.64 mg/fresh weight) was measured for guar in treatment N3P2D3 under application nitrogen 100 kg/ha-1 + phosphorus 75 kg/ha-1 + planting row distance 60 cm, while the lowest chlorophyll a (1.85 mg/fresh weight), chlorophyll b (1.25 mg/fresh weight) and carotenoid (1.72 mg/fresh weight)was observed in treatment N1P1D1 under nitrogen 20 kg/ha-1 + phosphorus zero kg/ha-1 + planting row distance 30 cm.

Factors Influencing Jajar Legowo Innovation Decisions: (Case Study Of Budi Sepakat Farmer Group, Koto Tangah District, Padang City)

This study aims to describe the diffusion of legowo jar innovation in the Budi Sepakat farmer group and find out the factors that influence the decision of legowo jajar innovation in the Budi Agree farmer group, Koto Tangah District, Padang City. This research method uses qualitative and descriptive quantitative with a case study approach in Budi Sepakat's farmer group. The analysis of the first objective data was carried out by interactive analysis of Miles and Huberman in [1] The data used in this study are primary data and secondary data. The results showed that the innovation of legowo rows is an innovation regarding rice planting spacing with alternating planting patterns between two or more rice planting rows and one empty row. The legowo jajar innovation was first introduced by the Department of Agriculture through the 2017 Penas event in Aceh. Communication runs smoothly with the communication channel used, namely interpersonal communication channels. This innovation was communicated in 2017 and implemented in 2021. This innovation does not oppose customs and culture and is fully supported by the community. The factors that influence farmers' decisions on legowo line innovation are the nature of successive innovations, namely: Compatibility, complexity, relative advantage, trialability, and observability. And factors that do not influence farmers' decisions on legowo line innovation are age, land area, and education.

Influence of Planting Date and Planting Distance on Population Density of Onion Armyworm

Onion is an important crop in the province of Nueva Ecija, Philippines. Currently, its productionis being constrained by onion armyworm (OAW; Spodoptera exigua). The impact of plantingdates and distance on the infestation of OAW was studied across two productions. The aim isto evaluate the influence of different combinations of planting dates (November, December, andJanuary) and row spacing [5 cm x 10 cm, 8 cm x 10 cm, 10 cm x 10 cm, and farmer’s practiceor waray (6–10 cm x 6–10 cm)] on the damage and population density of OAW. The count ofobserved OAW larvae from the earliest month (November) and during the month of the usualproduction period (November–December) was negligible to minimal. However, a significantincrease in the OAW population during late planting (January). In terms of leaf damage causedby the OAW feeding, November, December, and January planting had an increasing percentageas the OAW population also increased. There was an increase in bulb diameter as the row spacingwidens (10 cm x 10 cm), as well as an increase in the number of marketable bulb onions whenit is narrow (5 cm x 10 cm). This study showed that planting dates and distances should be oneof the major considerations in onion production and insect pest management.

Evaluating planting strategies for outdoor thermal comfort in high-rise residential complexes: a computational fluid dynamics simulation study.

This study aims to examine the impact of planting strategies on improving thermal comfort in relation to the existing buildings within real high-rise residential complexes. Using numerical simulation via ENVI-met, we compare six planting scenarios characterized by two locational schemes-open-space planting and building-vicinity planting-and three tree quantities. The results highlight the importance of planting greater numbers of trees, and also of their locations, to moderate the thermal environment. The findings of the study demonstrated that increasing the number of trees in the open space by threefold of the advisory guidelines led to a significant reduction in the average air temperature by 0.87°C, mean radiant temperature (MRT) by 11.00°C, physiological equivalent temperature (PET) by 4.50°C, and wind speed by 0.30m/s. Planting the minimum number of trees under building-vicinity reduced air temperature by 0.07°C, MRT by 2.48°C, and PET by 0.92°C, while showing a slight increase in wind speed of approximately 0.01m/s. To achieve improvements in both thermal condition and air flow, we suggest planting rows of trees parallel to the prevailing wind direction in the ventilation corridors at some distance from buildings, to minimize overlap of shade from trees and from buildings. The findings of this study will provide useful guidelines for effective planting design in dense residential areas.

Design and Analysis of a High-Precision Dynamic Compensation System for Seed Dropping Position in Corn Sowing Operations

In response to the problem of imprecise maintenance of plant spacing and row spacing during corn sowing operations in the middle of existing corn farms, this study designed a dynamic compensation system for corn seed dropping position. The test system includes a corn seeding machine operating unit, a seed dropping variable measurement and control system unit, a terminal control system, and a dynamic compensation system. The dynamic performance of the control system was tested experimentally. When undisturbed signals were loaded, regardless of whether the machine used the position compensation function or not, the coefficient of variation of longitudinal grain spacing was 2.6% ± 0.2%, and the longitudinal grain spacing was basically consistent. After adding disturbance signals, compared with not using the dynamic compensation function, the variation coefficient of seed spacing decreased by an average of 6.94% when using the dynamic compensation function. When using the dynamic compensation function, compared with not using dynamic compensation function, the variation coefficient of lateral grain spacing decreased by an average of 9.16%. Stability analysis of longitudinal and lateral grain spacing was conducted through bench tests, verifying the stability of the proposed dynamic compensation system for seed dropping position.

Hasat Kaybı Ölçüm Yöntemlerinin Karşılaştırılması

The aim of the study is to compare the 3 different methods that used to measure harvest losses under real field conditions for corn, soybean and cotton. A 1 m2 frame parallel to the planting row spacing (Method 1: M1), 1 m2 frame perpendicular to the planting row spacing (Method 2: M2) and three quarter m2 (Method 3: M3) were used to calculate harvest losses. This M1, M2, and M3 methods were used to calculate the losses in the harvest of corn and soybean with combine harvester. Then the M1 and M2 methods were used to calculate the losses when harvesting cotton with a cotton picker. 5 grids were established in the same field measuring 50mx50m for the M1, M2 and M3. The losses measured for corn at the end of the study were 2.8%, 3.4% and 4.7%; 1.5%, 2.1% and 4.4% for soybean respectively, according to M1, M2, and M3 methods. The losses measured for cotton 4.7% and 4.6%, respectively, according to M1, M2 methods. It was determined that losses calculated from the M1 to the M3 increased and that there was a difference in the calculated losses by 59.6% between the M1 and M3 for corn and 33.5% for soybean. There was no difference between the M1 and M2 for cotton.

Cost-Benefit Analysis of Sesame Production under Improved and Traditional/ Farmer’s Practice/ in Kafta-humera, Tigray Region, Ethiopia

This study aimed to investigate the cost-benefit of sesame production per hectare under improved and (traditional sesame production) farmer's practice. The primary data were collected from the sesame farmers who cultivate both improved and traditional sesame production (plot with improved sesame agronomic technologies on one side and farmers practice on the other side) were selected randomly from the participants of households on the cluster-based large scale demonstration of sesame production during 2019 in kafta-humera district, Western Zone of Tigray, Ethiopia. The study found that farmers were able to generate an average gross income of Ethiopian Birr (ETB) 28997 per hectare (ha) from the improved sesame production, whereas, ETB 19215.21 per ha from their practice, respectively. The average cost of cultivation for improved sesame production was ETB 11857.89 ha and ETB 9259.63 per ha under (traditional sesame production) farmers practice. Therefore, the net profit of sesame production under improved and traditional sesame production was ETB 17139.69 and ETB 9955.58 respectively. This implied that farmers could earn an additional net income of 7184.11 per ha by practicing the recommended sesame technologies. This shows that although the net profit under the improved production system was higher than traditional/farmers practice, higher costs of production were also recorded in improved sesame production than traditional /farmers practice as farmers spend a lot of money on sesame cultivation especially weeding and harvesting. Hence, the government and private sectors should give more emphasis to introduce mechanized row planter, captivators, and combined harvester machines to reduce labor costs especially when the cost of labor is high. Moreover, the price of sesame seed was lower than the previous three-four years. Hence, agricultural economists should consider setting up a sesame price policy to help farmers to gain more profit from selling sesame.