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Academic literature on the topic 'Crop cultivating, planning'
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Journal articles on the topic "Crop cultivating, planning"
1
Azad, Abul Kalam. "Determinants of Crop Diversification in Bangladesh: An Econometric Analysis." Asia-Pacific Journal of Rural Development 31, no. 2 (2021): 195–217. http://dx.doi.org/10.1177/24551333211069752.
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This study aims to investigate the factors that influence household behaviour in cultivating the diversified crops on their cultivable land in Bangladesh. Cragg’s alternative tobit model has been applied to a unique rural household level dataset to find the catalysts of crop diversification. The results obtained portrayed a mixed impression of crop diversification in the country. The estimated results have revealed that the male head of household, the accessibility of information, a greater number of farming parcels and the availability of hired labour seem to govern the decision of a farming household to participate in non-rice crop production, while factors such as the total amount of land, agricultural extension service and irrigation facilities influence rice cultivation. Moreover, the findings obtained from the same Cragg’s alternative tobit model estimation for the Aman, Boro and Aus seasons have also revealed a similar depiction of crop diversification in Bangladesh.
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Thilagavathi, N., and T. Amudha. "A novel methodology for optimal land allocation for agricultural crops using Social Spider Algorithm." PeerJ 7 (September 17, 2019): e7559. http://dx.doi.org/10.7717/peerj.7559.
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In the current agricultural scenario, availability of suitable land for cultivation is less and profitable allocation of the land for cultivating crops seems to be a cumbersome task. Crop planning optimization is a major research field in agriculture, in which land optimization is a significant challenge, which falls under the category of combinatorial optimization problems. The main objective of the present research is to maximize the net income from agriculture through optimal land allocation. Bio-inspired algorithms are quite popular in solving combinatorial optimization problems. Social Spider Algorithm (SSA), a new bio-inspired algorithm, is used to solve land optimization problem in this research based on the simulation of cooperative behaviour of social spiders. The agricultural area chosen for case study is the Coimbatore region, located in Tamilnadu state, India and the relevant data for the crops are collected from Tamilnadu Agricultural University Coimbatore, India. The optimal planting area, crop productivity for various land holdings and the water requirements are computed by SSA and the results have shown better directions for agricultural planning to improve the profit with constrained land area and water limitations.
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Aziz, Sherien Abdel, Martina Zeleňáková, Peter Mésároš, Pavol Purcz, and Hany Abd-Elhamid. "Assessing the Potential Impacts of the Grand Ethiopian Renaissance Dam on Water Resources and Soil Salinity in the Nile Delta, Egypt." Sustainability 11, no. 24 (2019): 7050. http://dx.doi.org/10.3390/su11247050.
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Several studies have reported that the construction of the Grand Ethiopian Renaissance Dam (GERD) could have severe effects on the water resources in downstream countries, especially Egypt. These effects include changes in surface water level, groundwater levels in shallow and deep aquifers, saltwater intrusion, and increases in soil salinity, which could affect crop yields. This paper assesses the potential impacts of the GERD on the Nile Delta, Egypt. It includes the effects of reducing surface water levels (SWL) and changing the crop patterns at the groundwater levels (GWL), in addition to the effect of cultivating crops that consume less water on soil salinity. A pilot area is selected in the east of the Nile Delta for the assessment. The results of the study revealed that GWL is directly proportional to SWL. Comparing the case study of 2012, when SWL was reduced by 50%, the GWL decreased from 5.0 m to 2.0 m. After adjustment, the crop patterns from rice to other crops decreased the GWL to 1.30 m. Additionally, the results showed that there is a significant relationship between soil salinity and crop patterns. Soil salinity increased during the cultivation of the Delta with non-rice crops, such as grapes. Salinity increased from 0.45 S/m after 10 years of simulation to 0.48 S/m. This estimation highlights the undesirable effects of the GERD on Egypt’s water resources, soil salinity, crop yields, and national income.
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Narayanamoorthy, A., N. Devika, R. Suresh, and K. S. Sujitha. "Efficiency and viability of drip method of irrigation in groundnut cultivation: an empirical analysis from South India." Water Policy 22, no. 6 (2020): 1109–25. http://dx.doi.org/10.2166/wp.2020.257.
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Abstract Drip method of irrigation (DMI) has the potential to save substantial water and electrical energy as well as increase the productivity of crops. Studies conducted on different high value crops have confirmed the various benefits of DMI. However, not many studies have researched the income and resource impact of drip irrigation including its benefit–cost pattern using survey data in crops like groundnut, which is an important oilseed crop in India. In this paper, an attempt has been made to fill this gap by using survey data collected from a water-scarce district from Tamil Nadu State in India. The results show that DMI can save about 34% of cultivation cost, 36% of water and electrical energy and increase about 79% of productivity over the same crop cultivated under conventional flood method of irrigation. The drip adopters are also able to generate an additional farm business income of Rs 25,911/acre (1 USD = INR 74.92, 1 acre = 4,047 m2) over the non-drip adopters. The net present worth and benefit–cost ratio estimated using discounted cash flow technique shows that investment in drip irrigation is economically highly viable for groundnut cultivating farmers.
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Sarker, Uttam Kumer, Md Salahuddin Kaysar, Md Romij Uddin, Md Alamgir Hossain, Sabry Hassan, and Mohamed M. Hassan. "Exploring Farmers’ Insight on Cropping Pattern for Sustainable Crop Production in Char Area of Bangladesh." Sustainability 14, no. 3 (2022): 1745. http://dx.doi.org/10.3390/su14031745.
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Bangladesh is principally an agricultural country, where most people depend primarily upon their own farm production for endurance. In the char area, agriculture is multifaceted and labor-intensive, with a non-developed market, few technologies, and insufficient resources. Moreover, agroecological situations are multifarious for crop production. A study was performed in the chars of Rangpur, Gaibandha, Kurigram, and Lalmonirhat districts of Bangladesh to determine the existing situation of cropping patterns, farmers’ problems with crop cultivation, and probable solutions to minimize risk in crop production. Farmers, local leaders, and dealers, as well as both government and non-government personnel, were occupied in the study to congregate information on different aspects of crop production. The study indicated that the most dominant cropping pattern was T. Aman-Maize-Jute. Flood is the major climatic risk alleged by char dwellers. Additionally, char respondents are vulnerable, with more landless farmers, and dominated by crop cultivation compared to other professional work. In response to the accessible crop production risks, the char peoples are suggested to utilize some adjustment strategies in agriculture, such as implementing new or alternative cropping practices, rapid disease and pest management techniques, and cultivating short-duration varieties. The other outcomes of the study were designed to implement program planning and livelihood development of char people through attaining food security.
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R, Shreedhar. "Multi Crop Optimization Using Linear Programming Model for Maximum Net Benefit." International Journal of Engineering & Technology 7, no. 3.12 (2018): 797. http://dx.doi.org/10.14419/ijet.v7i3.12.16504.
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The water used for agriculture is 70% globally. This has resulted in new methods of saving water. Hence water saving techniques has to be practiced. In water resources planning and management, optimization techniques is used for limited use of resources such as such as water, land, production cost, manpower, fertilizers, seeds, and pesticides. For cultivating each crop, the land area needs to be planned properly. Hence the crop pattern has to be decided optimally depending on available water resources and on economic basis. Therefore farmer needs to be educated to adopt optimum cropping pattern which maximises the economic returns. Hence the study is taken up to optimize the allocation of land areas to crops. The objective function for multi crop model were formulated using linear programming for maximizing the net benefits. The study resulted in optimal cropping pattern for different water availabilities ranging from 2000 Ha-m to 5500 Ha-m. The maximum net benefit for the study area varied from Rs. 53.2 Crores for 2000 Ha-m water availability to Rs.78 Crores at 5000 Ha-m water availability.
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Kalmykova, E. V., A. A. Novikov, N. Yu Petrov, and O. V. Kalmykova. "The effectiveness of resource-saving techniques for the cultivation of onions during irrigation in the conditions of the Lower Volga." Vegetable crops of Russia, no. 1 (March 19, 2020): 58–63. http://dx.doi.org/10.18619/2072-9146-2020-1-58-63.
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Relevance. The main areas under vegetables, including onions, are located in the south of Russia. Inclusion of vegetables in the list of food safety products with a threshold value of 90% will significantly increase the responsibility of agricultural workers at all levels for the production and sale of vegetable products. The purpose of the research is to justify the feasibility and effectiveness of cultivating promising varieties and hybrids of onions during irrigation in the Lower Volga region to obtain yields of 150 or more t/ha of high-quality products.Methods. For the first time in the area of chestnut soils, comprehensive scientific research was conducted on resource-saving techniques to increase the productivity of a vegetable crop in an extremely arid climate by regulating the physiological and biological processes during drip irrigation, and a system was developed for applying these techniques. Research in the experiment was carried out according to generally accepted methods.Results. The most significant increase in the onion crop was obtained on the variants of the complex application of the studied agricultural methods and amounted, on average, for 2011...2016 with an irrigation regime of 75...75...75% of HB on the standard variety Volgodonets – 159%, relative to the control, on a promising hybrid Octant F1 – 118%, on the hybrid – 125%. With the regime of 70...80...75% of HB on the Volgodonets standard grade – 155%, relative to control, on the promising Oktant F1 hybrid 113%, on the Valero F1 hybrid – 115%. When calculating the cultivation efficiency of this crop, economic data were obtained, the value of which allows us to conclude that when planning the growth of onion production efficiency, agricultural producers are recommended to introduce agricultural technology with a profitability of 253.63%: promising hybrid Octant F1, irrigation mode – differentiated, background N450P180K135+Mortar+Energy-M. Against this background, in the context of research on the variety and hybrids, the maximum return on production costs is 3.2 rubles. An analysis of data on a combination of crop-forming factors showed that for onions when cultivating promising hybrids Octant F1 and Valero F1, when planning yields of 130 and 150 t/ha, it is necessary to maintain a moisture level of 70...80...75% HB, and when grown without fertilizers and when planning 110 t/ha it is enough to create a permanent irrigation regime.
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Zakarya, Yasser M., Mohamed M. Metwaly, Mohamed A. E. AbdelRahman, Mohamed R. Metwalli, and Georgios Koubouris. "Optimized Land Use through Integrated Land Suitability and GIS Approach in West El-Minia Governorate, Upper Egypt." Sustainability 13, no. 21 (2021): 12236. http://dx.doi.org/10.3390/su132112236.
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Land evaluation is imperative for its efficient use in agriculture. Therefore, this study aimed at assessing the suitability of a region in West El-Minia for cultivating some of the major crops using the geographical information system (GIS). The results focus on allocating space for cultivating sugar beet and utilizing the free period of sugar beet in other crops. This exploitation helps to maintain the quality of the land and increase its fertility by using crop rotation with integrated agricultural management. A machine learning technique was implemented using the random forest algorithm (RF) to predict soil suitability classes for sugar beet using geomorphology, terrain attribute and remote sensing data. Fifteen major crops were evaluated using a suitability multicriteria approach in GIS environment for crop rotation decisions. Soil parameters were determined (soil depth, pH, texture, CaCO3, drainage, ECe, and slope) to characterize the land units for soil suitability. Soils of the area were found to be Entisols; Typic Torrifluvents, Typic Torripsamments and Typic Torriorthents and Aridsols; Typic Haplocacids, Calcic Haplosalids and Sodic Haplocalcids. Overall, the studied area was classified into four suitability classes: high “S1”, moderate “S2”, marginal “S3”, and not suitable “N”. The area of each suitability class changed depending on the crop tested. The highest two crops that occupied S1 class were barley with 471.5 ha (representing 6.8% of the total study area) and alfalfa with 157.4 ha (2.3%). In addition, barley, sugar beet, and sorghum occupied the highest areas in S2 class with 6415.3 ha (92.5%), 6111.3 ha (88.11%) and 6111.3 ha (88.1%), respectively. Regarding the S3 class, three different crops (sesame, green pepper, and maize) were the most highly represented by 6151.8 ha (88.7%), 6126.3 ha (88.3%), and 6116.7 ha (88.2%), respectively. In the end, potato and beans occupied the highest areas in N class with 6916.9 ha (99.7%) and 6853.5 ha (98.8%), respectively. The results revealed that the integration of GIS and soil suitability system consists of an appropriate approach for the evaluation of suitable crop rotations for optimized land use planning and to prevent soil degradation. The study recommends using crop rotation, as it contributes to soil sustainability and the control of plant pests and diseases, where the succession of agricultural crops on a scientific basis aims at maintaining the balance of nutrients and fertilizers in the soil.
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Shah, Ghulam-Muhammad, Farid Ahmad, Shailesh Panwar, Manbar S. Khadka, Ajaz Ali, and Suman Bisht. "Ocimum Sanctum [Tulsi]—An Alternative Additional Livelihood Option for the Poor and Smallholder Farmers." Sustainability 11, no. 1 (2019): 227. http://dx.doi.org/10.3390/su11010227.
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The scope of Tulsi (Ocimum sanctum) as an alternative crop and means of livelihood, particularly for the rural poor, has not been extensively explored. Tulsi is in much demand for its medicinal and aromatic properties, particularly in Ayurveda. With increased depredation of cereal crops by wildlife, increased pest incidence, and decreasing availability of water for agriculture, an attempt was made to explore alternative livelihoods through Tulsi cultivation and value chain development. Using cross-sectional survey data of beneficiary households, the study employed the ordinary least squares method to examine the relationship between total crop income and the income from Tulsi for 2016 and 2017. The findings suggest that the average household’s gross profit more than doubled within a span of two years. Total crop income of beneficiary farmers increased by 0.8 percent for every 1 percent increase in income from Tulsi. Most importantly, the intervention has shown a tremendous adoption rate. Initially, in 2013, 200 farmers cultivated Tulsi on 8.72 hectors of unirrigated and fallow land in the five beneficiary villages, but by 2017, towards the end of the intervention period, 400 farmers were cultivating the crop on 19.6 hectors of unirrigated, fallow land in 19 villages in Chamoli District. Tulsi farming and value chain development intervention not only provided marginal and smallholder farmers in these villages with a sustainable alternative additional livelihood option but also an opportunity where they were able to sustainably generate income from unirrigated, fallow land.
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Tong, Thi Hanh, Mai Phuong Pham, Thi Quyen Bui, et al. "Land Suitability Modeling For Ricecrop Based Qn An Integrated Multi-Criteria Decision Making In Quang Tri Province Qf Vietnam." GEOGRAPHY, ENVIRONMENT, SUSTAINABILITY 14, no. 3 (2021): 63–72. http://dx.doi.org/10.24057/2071-9388-2021-017.
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The present study was aimed to determine the potential cultivated lands for rice crop production in Vietnam. Analytic Hierarchy Process (AHP) and the Technique for Order of Preference by Similarity to Ideal Solution (TQPSIS) were employed in order to analyze the structure of an ideal solution in agriculture that focuses mainly on environmental, economic, and social sustainability. A final ranking of alternative development solutions was also accomplished. Three major factors were taken into consideration during the process, including the economics, social concerns, and the environment, in order to develop a sustainable plan for rice and other grain crops in the future. The obtained results demonstrate that the area under investigation in Quang Tri province, which encompasses 192.49 km2 of land area, was extremely conducive to growing rice crops, with the majority of the arable lands suitable for cultivating rice varieties concentrated in Trieu Long District (63.14 km2) and Hai Lang District (56.87 km2). The main findings of the present work indicated that, it can link decision makers with the influencing variables of rice crop growing utilizing a hybrid method that can be successfully used based on GIS technique. To expand production, chemical soil characteristics and agricultural development strategies should be investigated further, particularly in the studied areas with greater success potential.