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Gotowe bibliografie tematyczne / Cropping Pattern; Crop Ranking

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Artykuły w czasopismach
Rozprawy doktorskie
Części książek
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Gotowa bibliografia na temat „Cropping Pattern; Crop Ranking”

Autor: Grafiati

Data publikacji: 3 czerwca 2025

Data aktualizacji: 31 lipca 2025

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Artykuły w czasopismach na temat "Cropping Pattern; Crop Ranking"

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Dr., Ningaraju, and S. Arun Das Dr. "CROPPING PATTERN AND CROP RANKING OF MYSORE D." International Journal of Research - Granthaalayah 5, no. 4 (2017): 334–38. https://doi.org/10.5281/zenodo.573005.

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With the limited resources of land and water in hand, their optimum use is a must to for increased production of food grains to the demands of increasing population. The productivity in any area can be substantially raised by growing the crops suitable to the area with the help of newly developed agricultural techniques. Rainfed crops would continue to dominate in the agriculture of Mysore district.

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Ningaraju and S. Arun Das. "CROPPING PATTERN AND CROP RANKING OF MYSORE DISTRICT." International Journal of Research -GRANTHAALAYAH 5, no. 4 (2017): 334–38. http://dx.doi.org/10.29121/granthaalayah.v5.i4.2017.1827.

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With the limited resources of land and water in hand, their optimum use is a must to for increased production of food grains to the demands of increasing population. The productivity in any area can be substantially raised by growing the crops suitable to the area with the help of newly developed agricultural techniques. Rainfed crops would continue to dominate in the agriculture of Mysore district.

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Saidah, Humairo, Anid Supriyadi, and Lalu Wirahman Wiradarma. "Evaluasi Dan Modifikasi Pola Tata Tanam Daerah Irigasi Prako Berdasarkan Ketersediaan Air." JURNAL SAINS TEKNOLOGI & LINGKUNGAN 10, no. 3 (2024): 445–55. https://doi.org/10.29303/jstl.v10i3.700.

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Prako Weir in East Lombok Regency has limited water availability, which affects its ability to serve the provision of irrigation water. Failure to meet irrigation water needs is increasingly felt, so adaptation steps are needed to reduce more significant losses at the farmer level. This study aims to evaluate the current cropping pattern and obtain alternative cropping patterns that are more appropriate according to water availability in Prako Weir to minimize the potential for farmer crop failure. The study began by analysing water availability by calculating the mainstay discharge using a ra

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Kumar, Dinesh. "AGRICULTURAL CHARACTERISTICS IN FLOODPLAIN ZONE OF MIDDLE GANGA PLAIN." Journal of Global Resources 9, no. 01 (2023): 68–78. http://dx.doi.org/10.46587/jgr.2023.v09i01.007.

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This paper has been attempted to study the difference dimensions of agriculture like crop diversification, cropping intensity, crop combination, crop ranking, irrigation intensity and land use efficiency in floodplain zone of middle Ganga plain. Agriculture plays a very important role in the economic development of our country (India), where 65 percent of rural population is directly or indirectly depended on the agricultural for survival. The largest population of India has been livening in Ganga floodplain so it has necessary to study the different agricultural characteristics. The major obj

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Kumar, Vipin. "Study of Cropping Pattern, Crop Ranking and Crop Combination in Somb River Basin at Lower Shiwalik Hills." International Journal of Advanced Remote Sensing and GIS 6, no. 1 (2017): 2297–305. http://dx.doi.org/10.23953/cloud.ijarsg.295.

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Pavithra, R., R. Shiva Kumar, and P. Surendra. "Assessment of Crop Combination in Ramanagara District." Geo-Eye 10, no. 2 (2021): 26–30. https://doi.org/10.53989/bu.ge.v10i2.5.

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The studies of crop combination regions constitute an important aspect of agricultural geography as it provides a good basis for agricultural regeneration. Through different regions may have different climate and soil conditions and objectives of the study are to find out the crop combination regions of Ramanagara District. The important objectives are to study the principal crops and ranking of crops in Ramanagara District to find out the Weavers and Reffullahs crop combination regions in Ramanagara District. The data collected were processed and analyzed by using districts statistics the res

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Gayathri, E., and K. Sita Devi. "Changes in the Land Use Pattern and Cropping Pattern among Different Gradients of Tiruchirapalli District – A Farm Level Analysis." Asian Journal of Agricultural Extension, Economics & Sociology 41, no. 11 (2023): 382–96. http://dx.doi.org/10.9734/ajaees/2023/v41i112295.

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Agriculture plays a vital role in an Indian Economy. Changes in land use subsequently leading to decreased agricultural land in favour of the provision of residential accommodation in most urban settlements. The extent of land use is also influenced by technological changes over a period of time. The technological changes in agriculture ignited intensive cultivation resulting in conversion of marginal lands into productive agricultural lands through capital intensive cultivation. Changes in farming and land use patterns result in urbanisation, which puts ecological stability and food security

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Khalangre, Dr Kiran Dilip, and Dr M. V. Suryawanshi. "Crop Concentration and Diversification in Latur District of Maharashtra: A Case Study." Indian Journal of Food Engineering 3, no. 3 (2024): 1–5. http://dx.doi.org/10.54105/ijfe.c1011.03030624.

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The present study is an attempt to explain the crop concentration and diversification in agriculture of the Latur district of Maharashtra. Here, a detailed study has been done to know the dominant crop as well as the ranking of the crops in the cropping pattern of the study area. The study is based on secondary data sets that have been collected from the district statistical handbook 2020-21. Using Bhatia’s method, the crop concentration indices for all blocks of the district have been calculated for crops like Soybean, Sugarcane, Tur, Gram, Jowar, Mung and Udid. Crop concentration and Crop di

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Dr., Kiran Dilip Khalangre. "Crop Concentration and Diversification in Latur District of Maharashtra: A Case Study." Indian Journal of Food Engineering (IJFE) 3, no. 3 (2024): 1–5. https://doi.org/10.54105/ijfe.C1011.03030624.

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<strong>Abstract: </strong>The present study is an attemptto explain the crop concentration and diversification in agriculture of the Latur district of Maharashtra. Here, a detailed study has been done to know the dominant crop as well as the ranking of the crops in the cropping pattern of the study area. The study is based on secondary data sets that have been collected from the district statistical handbook 2020-21. Using Bhatia’s method, the crop concentration indices for all blocks of the district have been calculated for crops like Soybean, Sugarcane, Tur, Gram, Jowar, Mung and Udid

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Ahmad, Munir. "Agricultural Productivity Growth Differential in Punjab, Pakistan: A District-level Analysis." Pakistan Development Review 40, no. 1 (2001): 1–25. http://dx.doi.org/10.30541/v40i1pp.1-25.

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The results of this paper show that the crop output increased at the rate of 2.6 percent per annum, dominated by the share of TFP growth. Wide variation exists among cropping systems as well as within the system both in TFP growth and output growth. The mungbean zone emerged as a leader in TFP growth with 3.6 percent per annum, followed by barani (3.2 percent), cotton (1.9 percent), mixed (1.1 percent), and rice (1.0 percent) zones. Rice, mixed, and cotton zones show a negative trend in efficiency, and the respective causes appear to be the dominant factor of land degradation sourced by the ex

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Rozprawy doktorskie na temat "Cropping Pattern; Crop Ranking"

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Chetvertakov, Sergey. "Prospects of cash crop production in CBSR of Russia." Thesis, 2017. http://hdl.handle.net/11858/00-1735-0000-0023-3F30-C.

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Części książek na temat "Cropping Pattern; Crop Ranking"

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Rahaman, Hasibur. "Status of Crop Diversification." In Diversified Cropping Pattern and Agricultural Development. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-55728-7_4.

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Roy, Shimul, Rezuana Afrin, Md Younus Mia, and Sanjoy Kumar Mondol. "Impacts of Climate-Induced Events on the Season-Based Agricultural Cropping Pattern and Crop Production in the Southwestern Coastal Region of Bangladesh." In Climate Change Impacts on Natural Resources, Ecosystems and Agricultural Systems. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-19059-9_18.

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Desalegn, T. "Opportunities to Improve Water Productivity in Farmer-Led Irrigation: A Case Study of Ethiopia." In Enhancing Water and Food Security Through Improved Agricultural Water Productivity. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-1848-4_15.

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Abstract To construct economic growth and poverty reduction, farmer-led irrigation is increasing nowadays in many African, South Asian, and Latin American countries. Smallholder farmers’ vulnerability to climate shocks due to rainfall variability, frequent droughts, and inadequate water resources, which threaten agricultural productivity and food security is known. Understanding the current and future crop water demand is key for improving agricultural productivity, and bringing food security, especially in arid and semi-arid areas where irrigation is needed to overwhelm shortage and rainfall

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Sarap, Kailas, and Partha P. Sahu. "Emerging Trends in Cropping Pattern, Crop Diversification, and Agricultural Productivity." In The Economy of Odisha. Oxford University Press, 2016. http://dx.doi.org/10.1093/acprof:oso/9780199464784.003.0002.

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Pooja, M. R., Aditi Attavar, Akshatha Leela Manohar, and D. Himoshra. "Pattern Prediction System for Smart Farming in the Agriculture Sector Using Machine Learning." In Hybrid Soft Computing Techniques for Machine Learning and Optimization. IGI Global, 2025. https://doi.org/10.4018/979-8-3693-6864-0.ch008.

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The system aims to empower farmers by providing insights into the diverse range of crops suitable for their specific land. The work focuses on developing a system that predicts the optimal crop priority, considering various factors such as land characteristics, soil conditions, and climate data. By understanding the intricate relationships between different crop types, farmers can make informed decisions to maximize yield quality. The absence of a robust system for identifying cropping patterns results in random crop choices, leading to yield fluctuations. This prioritization minimizes losses

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Hartomo, Kristoko Dwi, Sri Yulianto Joko Prasetyo, Muchamad Taufiq Anwar, and Hindriyanto Dwi Purnomo. "Rainfall Prediction Model Using Exponential Smoothing Seasonal Planting Index (ESSPI) For Determination of Crop Planting Pattern." In Computational Intelligence in the Internet of Things. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7955-7.ch010.

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The traditional crop farmers rely heavily on rain pattern to decide the time for planting crops. The emerging climate change has caused a shift in the rain pattern and consequently affected the crop yield. Therefore, providing a good rainfall prediction models would enable us to recommend best planting pattern (when to plant) in order to give maximum yield. The recent and widely used rainfall prediction model for determining the cropping patterns using exponential smoothing method recommended by the Food and Agriculture Organization (FAO) suffered from short-term forecasting inconsistencies an

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Singh, Ajay Kumar, and Bhim Jyoti. "A Review for Assessing the Impact of Climate Change on the Agricultural Sector, Food Security, and Pests in India." In Advances in Environmental Engineering and Green Technologies. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-3061-6.ch003.

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This chapter observes the implications of climate change on production and yield of crops, and food security (FS) in India as per the previous studies. It also explains that climate change induced pests and insects in the agricultural sector. It also analyzes the role of adaptation and mitigation strategies in the agricultural sector and FS. The yield and production of crops are predicted to decline due to climate change and pests' germination. The use of technologies, mixed cropping pattern, cropping intensity, climate-resilient crops, drought-tolerance crop, irrigation facilities, soil manag

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Sarkar, Amaresh. "Estimation of Minimum Energy Consumption Index in a Protected Farm Using Bacteria Foraging Optimization Algorithm." In Research Anthology on Clean Energy Management and Solutions. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-9152-9.ch038.

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This article estimates the minimum energy consumption index in a single story protected farm which would suggest the condition of minimum energy consumption or loss condition. The analytic hierarchy process (AHP), weighted sum method (WSM) and weighted product method (WPM) are used for relative ranking of four energy consumption indicators viz., water pumping, light supplement, CO2 balancing and cooling-heating under three criteria viz., cropping area, daily crop water, and indoor environment. The minimum, maximum and average energy consumption index was predicted by the bacteria foraging opti

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Sharma, Upma, and Mahesh Kothari. "A Methodology to Analyze Soil Moisture Characteristics Using GIS and Modeling Approach for Sustainable Crop Production." In Soil Moisture [Working Title]. IntechOpen, 2023. http://dx.doi.org/10.5772/intechopen.112910.

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This chapter introduces the importance of soil moisture to attain optimum crop production. Various soil properties that play crucial role in managing irrigation system have been discussed. In addition, the lesson presents a detailed description of the in situ techniques for measuring the moisture content of different soils. In areas where field measurement of soil moisture is a cumbersome practice, remote sensing, GIS, and modeling have been emerged as a boon. The role of all three approaches has been studied to analyze the soil moisture characteristics of particular area to select suitable cr

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Mylliemngap, Wishfully. "Agrobiodiversity and Natural Resource Management in Traditional Agricultural Systems of Northeast India." In Mountain Ecosystems and Resources Management. The Grassroots Institute, 2023. http://dx.doi.org/10.33002/mount.a/11.

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North-East India, which falls under the Indian Eastern Himalayan region and forms part of two global biodiversity hotspots, is well-known for its rich diversity of flora, fauna, cultures, and traditional knowledge systems. Agriculture is the main occupation of the communities living in this mountainous region supplemented by the utilization of wild useful species from the nearby forests. Traditional agriculture in North-East India follows a mixed cropping pattern through multi-cropping, crop rotation, and use of multipurpose nitrogen (N)-fixing trees, along with protection of semi-domesticated

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Streszczenia konferencji na temat "Cropping Pattern; Crop Ranking"

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Manjunath, K. R., Nitai Kundu, and Sushma Panigrahy. "Analysis of cropping pattern and crop rotation using multidate, multisensor, and multiscale remote sensing data: case study for the state of West Bengal, India." In Asia-Pacific Remote Sensing Symposium, edited by Robert J. Kuligowski, Jai S. Parihar, and Genya Saito. SPIE, 2006. http://dx.doi.org/10.1117/12.693921.

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