scholarly journals Online Fertilizer Recommendation System (OFRS): A Step Towards Precision Agriculture And Optimized Fertilizer Usage By Smallholder Farmers In Bangladesh

2020 ◽  
Vol 1 (4) ◽  
Author(s):  
M. A. Hossain ◽  
M. N. A. Siddique
Keyword(s):  
Precision Agriculture ◽  
Recommendation System ◽  
Smallholder Farmers ◽  
Fertilizer Application ◽  
Soil Test ◽  
Total Production ◽  
Soil Database ◽  
Fertilizer Recommendation ◽  
Fertilizer Recommendations ◽  
Input Cost

The recent progression and Green Revolution (approx. between the 1990s-2010s) in agriculture of Bangladesh resulted in an increase of total production despite yield-gap to ensure food security. But agriculture in Bangladesh is still backed-up by higher use of inputs (agrochemicals-fertilizers, pesticides; modern varieties, irrigation etc.) and inversion tillage. This conventional agrochemical-based smallholder agriculture may lead to soil and environmental degradation, soil acidification, and a decline in soil fertility. Therefore, it is significant to optimize input application in intensive agriculture, especially fertilizers. This paper introduces the potential online facilities of generating online fertilizer recommendations for smallholder farmers in Bangladesh to ensure proper usage of fertilizers and enable sustainable agricultural production. We also highlighted how the usage of fertilizers increased with an increase in total production over time. But the sustainability of production in the years to come still remain challenging. With the aim of sustainable crop production, reduction in the misuse of fertilizers and reduction of input cost by optimizing the present pattern of excessive fertilizer application, the Soil Resource Development Institute (SRDI) provides location-specific fertilizer recommendation through both the manual and soil test based interpretation of plant nutrients: soil database in Upzazila Nirdeshika and static laboratory soil analysis. Recently, SRDI developed web-based software named Online Fertilizer Recommendation System (OFRS). The system is capable of generating location-specific fertilizer recommendations for selected crops by analyzing the national soil database developed by this governmental institute. The software requires farmer field location, respective soil and land type, and crop type and variety information to generate crop-specific instant fertilizer recommendation. It was observed that by using fertilizer according to the recommended dose calculated on the basis of soil test values, farmers could harvest approx. 7-22% higher yield of different crops over usual farmers practice. If this system can be popularized and disseminated by effective agricultural extension, this would immensely contribute to the promotion of precision agriculture, input cost reduction and it would certainly enable us to optimize fertilizer application by the smallholder farmers in Bangladesh.

scholarly journals TINGKAT KESUBURAN DAN REKOMENDASI PEMUPUKAN N, P, DAN K TANAH SAWAH KABUPATEN BENGKULU SELATAN

Jurnal Solum ◽  
2012 ◽  
Vol 9 (2) ◽  
pp. 61
Author(s):  
Nurmegawati Nurmegawati ◽  
W Wibawa ◽  
E Makruf ◽  
D Sugandi ◽  
T Rahman
Keyword(s):  
Soil Fertility ◽  
Paddy Soil ◽  
Ph Value ◽  
Rice Variety ◽  
Fertilizer Application ◽  
Soil Samples ◽  
Soil Test ◽  
Fertility Level ◽  
Fertilizer Recommendation ◽  
Test Kit

An alternatif way to determine soil fertility level as well as to recommend fertilizer application is by using soil test kit. The kit can measure P and K status of soils as well as the pH value. The research was aimed to evaluate soil fertility level of paddy soil and to determine fertilizer recommendation for rice (variety ? IR64) having 5 t mill-dry seeds/ha at the soil in Kedurang Ilir and Seginim, South Bengkulu. Soil samples were collected in 24 villages in the area, then they were analyzed using the Test Kit. The results showed that (1) fertility level of paddy soil in Seginim was higher than that in Kedurang Ilir, (2) there were 4 packages of fertilizer doses (250- 100-100; 200-75-100; 250-50-100; 200-100-100 kg/ha for Urea-SP36-KCl, respectively) recommended in Kedurang Ilir, (3) there were 7 packages of fertilizer doses (250-100-100; 200-50-100; 250-75-100; 200-100-75; 200-75-100; 200-100-100; 250-50-100 kg/ha for Urea, SP36, and KCl, respectively) in Seginim.Key Words: paddy soil, fertility, soil test kit

scholarly journals Precision for Smallholder Farmers: A Small-Scale-Tailored Variable Rate Fertilizer Application Kit

Agriculture ◽  
2018 ◽  
Vol 8 (4) ◽  
pp. 48 ◽  
Author(s):  
Jelle Van Loon ◽  
Alicia Speratti ◽  
Louis Gabarra ◽  
Bram Govaerts
Keyword(s):  
Rural Communities ◽  
Precision Agriculture ◽  
Smallholder Farmers ◽  
Nutrient Status ◽  
Fertilizer Application ◽  
Application Rate ◽  
Small Scale ◽  
Variable Rate ◽  
User Friendliness ◽  
The Right

Precision agriculture technology at the hands of smallholder farmers in the developing world is often deemed far-fetched. Low-resource farmers, however, are the most susceptible to negative changes in the environment. Providing these farmers with the right tools to mitigate adversity and to gain greater control of the production process could unlock their potential and support rural communities to meet the increasing global food demand. In this study, a real-time variable rate fertilizer application system was developed and tested as an add-on kit to conventional farm machinery. In the context of low investment costs for smallholder farmers, high user-friendliness and easy installment were the main concerns for the system to be viable. The system used nitrogen (N)-sensors to assess the plant nutrient status on the spot and subsequently adjust the amount of fertilizer deposited according to the plant’s needs. Test bench trials showed that the add-on kit performed well with basic operations, but more precision is required. Variability between N-sensors and metering systems, combined with power fluctuations, created inaccuracies in the resulting application rate. Nevertheless, this work is a stepping stone towards catalyzing the elaboration of more cutting-edge precision solutions to support small-scale farmers to become successful, high producing agro-entrepreneurs.

scholarly journals Application of Mitscherlich-Bray equation to formulate fertilizer recommendations for sweetpotato in Leyte, Philippines

2020 ◽  
pp. 30-42
Author(s):  
Luz Asio ◽  
Nenita de la Cruz
Keyword(s):  
Soil Fertility ◽  
Maximum Yield ◽  
The Philippines ◽  
Soil Test ◽  
Root Yield ◽  
Fertilizer Recommendation ◽  
Theoretical Maximum ◽  
Fertilizer Recommendations ◽  
Npk Fertilizer ◽  
Fertilizer Rates

Until now, no studies have been conducted in the Philippines on the use of the Mitscherlich-Bray equation to formulate NPK fertilizer recommendation for sweetpotato. This study used the Mitscherlich-Bray equation to formulate NPK requirements for sweetpotato. Independent experimental set-ups of N (7 application levels), P (6 levels), and K (9 levels) arranged in RCBD with three replications were simultaneously conducted. Theoretical maximum yield, NPK constants c, and c, NPK fertilizer recommendations for sweetpotato at different soil fertility levels, and optimum fertilizer rates were calculated. Fertilizer recommendations for a common range of soil test values were developed but needed further field verification trials. Theoretical maximum yields determined by the Mitscherlich-Bray equation were 19.05, 12.66, and 14.88t ha-1 for NPK, respectively. The study showed that inherent soil fertility is vital in the development of fertilizer recommendation for sweetpotato not only to increase root yield but likewise to increase overall productivity. It showed that 30, 50, and 60 percent of the maximum possible yield was attributed to the inherent soil N, P, and K, respectively. N, P2O5, and K2O recommendations for sweetpotato were computed based on a common range of soil test values ranging from 50 to 300, 5to 40, and 200 to 700kg ha1 NPK, respectively.

Prediction of Crop, Fertilizer and Disease Detection for Precision Agriculture

2021 ◽  
Vol 9 (10) ◽  
pp. 26-30
Author(s):  
Bharathi C
Keyword(s):  
Data Mining ◽  
Pest Control ◽  
Precision Agriculture ◽  
Recommendation System ◽  
Infected Leaf ◽  
Crop Choice ◽  
Fertilizer Recommendation ◽  
Modern Technique ◽  
Using Data ◽  
The Right

Abstract: The main walk of life of our Country is Agriculture. More than 70 % of the population’s lives depend upon agriculture. It is also a great source of country’s economy. In order to make this filed more profitable for farmers proper crops have to be grown in their fields. The prevalent problem among the farmers is Crop choice depending upon the soil in their farmlands. Another challenge faced by farmers is choosing the right fertilisers for their crops, which plays a very important role in getting a good and profitable yield. There is another major problem which they have to give more attention is the pest control or the diseases to which the plants may limit their growth. The above listed problems may solved using the advanced techniques of Precision Agriculture and data mining. Precision Agriculture is modern technique which can be used for farming. The main objective of is to solve above problems using data mining techniques and build a decision system which would help farmers to choose right crops for their farm , fertiliser recommendation for the crops grown and also to help the farmers in detecting the diseases by using the infected leaf images.. Keywords: Precision Agriculture, Data Mining, Crop, fertilizer recommendation system, ML Algorithms

Importance of agricultural chemistry in multifunctional crop production

2003 ◽  
Vol 51 (1) ◽  
pp. 101-107
Author(s):  
T. Németh
Keyword(s):  
Sustainable Development ◽  
Agricultural Production ◽  
Crop Production ◽  
Recommendation System ◽  
Good Condition ◽  
Soil Nutrient ◽  
Fertilizer Application ◽  
Point Of View ◽  
Mineral Fertilizers ◽  
Fertilizer Recommendation

agricultural production is a basic, traditional constituent of the Hungarian economy. An importance question nowadays is how the land can be cultivated and agricultural goods produced under the conditions of sustainable development. From the plant nutrition point of view the establishment of an environment-friendly fertilizer recommendation system is essential if sustainable development is to be achieved. Most experts agree that this type of fertilizer recommendation system is able to fulfil the growing demands of a growing population, while keeping the environment in good condition for the next generations. The experts also agree that fertilizer application could not be replaced widely with organic farming alone. An environmentally friendly fertilizer recommendation system has to be sensitive enough to respond to the effects of different conditions, e.g. great spatial variability of soil characteristics, mosaic-like soil cover, climate, crop rotation practices, soil nutrient supply, etc. There was a dramatic change in Hungarian agriculture at the beginning of the 90s, as the result of which the use of fertilizers decreased sharply for several reasons, e.g. privatization, changes in ownership, withdrawal of state subsidies for mineral fertilizers, drought, etc. Both Hungarian agriculture and the country as a whole is now facing two challenges, i.e. to overcome the economic difficulties and to complete the final phase of preparations to join the EU. Land use change scenarios have proved that the natural endowments of Hungary are suitable for integrating agricultural production with environmental and landscape protection and nature conservation.

Field scale fertilizer recommendations: The spatial scaling problem

1996 ◽  
Vol 76 (1) ◽  
pp. 1-6 ◽  
Author(s):  
R. G. Kachanoski ◽  
G. L. Fairchild
Keyword(s):  
Spatial Variability ◽  
Soil Fertility ◽  
Yield Response ◽  
Soil Test ◽  
Field Scale ◽  
Fertilizer Rate ◽  
Fertilizer Recommendation ◽  
Constant Rate ◽  
Fertilizer Recommendations ◽  
Yield Gain

Soil fertility may vary considerably within a field. The effects of variable soil fertility on the relationships among average crop yield response, average soil test, and fertilizer applied evenly to a field have not been examined. This paper develops stochastic equations to describe the average yield gain on a field basis from the application of a single constant rate of fertilizer, in fields with variable soil fertility. The equations are solved numerically for the specific case of nitrogen fertilizer on corn (Zea mays L.) in Ontario, Canada. The results suggest that since the relationships among yield response, soil test, and applied fertilizer are non-linear, a single soil test calibration cannot exist for fields with different spatial variability. Soil test calibrations obtained from sites with low variability (for example small plots) will not hold for sites with higher variability (for example farm fields). Calibrations obtained from sites with low variability will under-predict the optimum economic fertilizer rate for sites with low variability will under-predict the optimum economic fertilizer rate for sites with high variability. The results do not invalidate soil test calibration relationships per se. The challenge is to combine these calibrations with additional knowledge about the spatial distribution and field-scale variability of soil test values in order to maximize economic benefit. Key words: Spatial variability, soil test, fertilizer recommendation, yield, corn, field scale

scholarly journals FERTILIZER RECOMMENDATION SYSTEM FOR MELON BASED ON NUTRITIONAL BALANCE

2015 ◽  
Vol 39 (2) ◽  
pp. 498-511 ◽  
Author(s):  
José Aridiano Lima de Deus ◽  
Ismail Soares ◽  
Júlio César Lima Neves ◽  
José Francismar de Medeiros ◽  
Fábio Rodrigues de Miranda
Keyword(s):  
Recommendation System ◽  
Nutrient Use Efficiency ◽  
Fertilizer Application ◽  
Nutrient Balances ◽  
Time Of Application ◽  
Fertilizer Recommendation ◽  
Nutrient Use ◽  
Use Efficiency ◽  
Yellow Type ◽  
Nutritional Balance

Melon is one of the most demanding cucurbits regarding fertilization, requiring knowledge of soils, crop nutritional requirements, time of application, and nutrient use efficiency for proper fertilization. Developing support systems for decision-making for fertilization that considers these variables in nutrient requirement and supply is necessary. The objective of this study was parameterization of a fertilizer recommendation system for melon (Ferticalc-melon) based on nutritional balance. To estimate fertilizer recommendation, the system considers the requirement subsystem (REQ), which includes the demand for nutrients by the plant, and the supply subsystem (SUP), which corresponds to the supply of nutrients through the soil and irrigation water. After determining the REQtotal and SUPtotal, the system calculates the nutrient balances for N, P, K, Ca, Mg, and S, recommending fertilizer application if the balance is negative (SUP < REQ), but not if the balance is positive or zero (SUP ≥ REQ). Simulations were made for different melon types (Yellow, Cantaloupe, Galia and Piel-de-sapo), with expected yield of 45 t ha-1. The system estimated that Galia type was the least demanding in P, while Piel-de-sapo was the most demanding. Cantaloupe was the least demanding for N and Ca, while the Yellow type required less K, Mg, and S. As compared to other fertilizer recommendation methods adopted in Brazil, the Ferticalc system was more dynamic and flexible. Although the system has shown satisfactory results, it needs to be evaluated under field conditions to improve its recommendations.

Crop Recommendation System for Precision Agriculture

2019 ◽  
Vol 7 (5) ◽  
pp. 1277-1282
Author(s):  
Bharath Kumar R ◽  
Balakrishna K ◽  
Bency Celso A ◽  
Siddesha M ◽  
Sushmitha R
Keyword(s):  
Precision Agriculture ◽  
Recommendation System

scholarly journals Precision Agriculture for Resource Use Efficiency in Smallholder Farming Systems in Sub-Saharan Africa: A Systematic Review

2021 ◽  
Vol 13 (3) ◽  
pp. 1158
Author(s):  
Cecilia M. Onyango ◽  
Justine M. Nyaga ◽  
Johanna Wetterlind ◽  
Mats Söderström ◽  
Kristin Piikki
Keyword(s):  
Resource Use ◽  
Precision Agriculture ◽  
Large Scale ◽  
English Language ◽  
Management Practices ◽  
Smallholder Farmers ◽  
Management Strategies ◽  
Sub Saharan Africa ◽  
Smallholder Farming ◽  
Sub Saharan

Opportunities exist for adoption of precision agriculture technologies in all parts of the world. The form of precision agriculture may vary from region to region depending on technologies available, knowledge levels and mindsets. The current review examined research articles in the English language on precision agriculture practices for increased productivity among smallholder farmers in Sub-Saharan Africa. A total of 7715 articles were retrieved and after screening 128 were reviewed. The results indicate that a number of precision agriculture technologies have been tested under SSA conditions and show promising results. The most promising precision agriculture technologies identified were the use of soil and plant sensors for nutrient and water management, as well as use of satellite imagery, GIS and crop-soil simulation models for site-specific management. These technologies have been shown to be crucial in attainment of appropriate management strategies in terms of efficiency and effectiveness of resource use in SSA. These technologies are important in supporting sustainable agricultural development. Most of these technologies are, however, at the experimental stage, with only South Africa having applied them mainly in large-scale commercial farms. It is concluded that increased precision in input and management practices among SSA smallholder farmers can significantly improve productivity even without extra use of inputs.

scholarly journals Corn Stover Removal Responses on Soil Test P and K Levels in Coastal Plain Ultisols

2021 ◽  
Vol 13 (8) ◽  
pp. 4401
Author(s):  
Jeffrey M. Novak ◽  
James R. Frederick ◽  
Don W. Watts ◽  
Thomas F. Ducey ◽  
Douglas L. Karlen
Keyword(s):  
Coastal Plain ◽  
Nutrient Removal ◽  
Fertilizer Application ◽  
First Year ◽  
Soil Test ◽  
Concentration Data ◽  
Extractable P ◽  
K Fertilizer ◽  
Soil Test P ◽  
K Concentration

Corn (Zea mays L.) stover is used as a biofuel feedstock in the U.S. Selection of stover harvest rates for soils is problematic, however, because excessive stover removal may have consequences on plant available P and K concentrations. Our objective was to quantify stover harvest impacts on topsoil P and K contents in the southeastern U.S. Coastal Plain Ultisols. Five stover harvest rates (0, 25, 50, 75 and 100% by wt) were removed for five years from replicated plots. Grain and stover mass with P and K concentration data were used to calculate nutrient removal. Mehlich 1 (M1)-extractable P and K concentrations were used to monitor changes within the soils. Grain alone removed 13–15 kg ha−1 P and 15–18 kg ha−1 K each year, resulting in a cumulative removal of 70 and 85 kg ha−1 or 77 and 37% of the P and K fertilizer application, respectively. Harvesting stover increased nutrient removal such that when combined with grain removed, a cumulative total of 95% of the applied P and 126% of fertilizer K were taken away. This caused M1 P and K levels to decline significantly in the first year and even with annual fertilization to remain relatively static thereafter. For these Ultisols, we conclude that P and K fertilizer recommendations should be fine-tuned for P and K removed with grain and stover harvesting and that stover harvest of >50% by weight will significantly decrease soil test M1 P and K contents.

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