scholarly journals Smart Farming System by Creating Artificial Environment using IoT for Efficient Crop Growth

2021 ◽  
Vol 9 (VI) ◽  
pp. 2987-2992
Author(s):  
Dr. M. Prasad
Keyword(s):  
Air Quality ◽  
Plant Growth ◽  
Farming System ◽  
Crop Growth ◽  
Normal Plant ◽  
Traditional Farming ◽  
Electronic Environment ◽  
Artificial Environment ◽  
Smart Farming ◽  
Abnormal Condition

This paper presents the growth of plants effectively in less duration of time compared to traditional farming. In this the farming is done inside the packed electronic environment by using the artificial environment through Led’s for growth of plants. The photosynthesis process is carried out by the plants is dependent on the led’s. In this project we are using two sensors they are DHT11 which is used to monitor the temperature and humidity parameters and MQ135 which is an air quality sensor for monitoring the environment of the particular region and controlled using Node MCU. All the equipments are monitored using Iot. If any of these parameters is in abnormal condition then exhaust fan get turned on, so that we can reduce the humidity. Blynk application is used for displaying information. By using these parameters the rate of plant growth is doubled. Results shown that when all the factors of plant growth are stabilized, then it is possible to grow a plant in less time compared through normal plant time because photosynthesis is carries throughout the day.

scholarly journals Smart Farming through Responsible Leadership in Bangladesh: Possibilities, Opportunities, and Beyond

2021 ◽  
Vol 13 (8) ◽  
pp. 4511
Author(s):  
Amlan Haque ◽  
Nahina Islam ◽  
Nahidul Hoque Samrat ◽  
Shuvashis Dey ◽  
Biplob Ray
Keyword(s):  
Empirical Studies ◽  
Farming System ◽  
The Internet ◽  
Responsible Leadership ◽  
Traditional Farming ◽  
Agriculture Sector ◽  
Comprehensive Literature Review ◽  
Smart Farming ◽  
The Internet Of Things

Smart farming has the potential to overcome the challenge of 2050 to feed 10 billion people. Both artificial intelligence (AI) and the internet of things (IoT) have become critical prerequisites to smart farming due to their high interoperability, sensors, and cutting-edge technologies. Extending the role of responsible leadership, this paper proposes an AI and IoT based smart farming system in Bangladesh. With a comprehensive literature review, this paper counsels the need to go beyond the simple application of traditional farming and irrigation practices and recommends implementing smart farming enabling responsible leadership to uphold sustainable agriculture. It contributes to the current literature of smart farming in several ways. First, this paper helps to understand the prospect and challenges of both AI and IoT and the requirement of smart farming in a nonwestern context. Second, it clarifies the interventions of responsible leadership into Bangladesh’s agriculture sector and justifies the demand for sustainable smart farming. Third, this paper is a step forward to explore future empirical studies for the effective and efficient use of AI and IoT to adopt smart farming. Finally, this paper will help policymakers to take responsible initiatives to plan and apply smart farming in a developing economy like Bangladesh.

scholarly journals Evaluations of internet of things-based personal smart farming system for residential apartments

2020 ◽  
Vol 9 (6) ◽  
pp. 2477-2483
Author(s):  
Fatin Natasya Shuhaimi ◽  
Nursuriati Jamil ◽  
Raseeda Hamzah
Keyword(s):  
Internet Of Things ◽  
Plant Growth ◽  
Farming System ◽  
Absolute Difference ◽  
Basic Design ◽  
Urban Farming ◽  
Cost Of Living ◽  
Smart Farming ◽  
Implementation Costs ◽  
System Designs

Urban farming is popularly accepted by communities living in cities as they are more health-conscious and to help support the high cost of living. Unfortunately, farming takes a considerable amount of time specially to monitor the plant’s growth. Therefore, smart farming using Internet of Things (IoT) should be adopted to realize urban farming. In this study, two IoT-based smart farming system designs for personal usages in a residential apartment were proposed and evaluated. As the design was meant for beginners, two utmost parameters for maintaining plant growth was evaluated, that are humidity and temperature. The humidity and temperature readings of design A using DHT 11 sensor and design B using DHT 22 sensor were recorded for 3 days and were compared against the actual humidity and temperature of the environment. After comparing the sum of absolute difference (SAD) of both designs, the implementation costs, and the consumption power, there is an inconclusive finding in terms of accuracy and costs. However, the basic design and cost of implementing a personal IoT-based smart farming system were proposed. The factors to be considered in constructing a personal smart farming system were also described.

A Cost-effective Smart Farming System with Knowledge Base

2017 ◽  
Author(s):  
Quang Tran Minh ◽  
Trong Nhan Phan ◽  
Akihiko Takahashi ◽  
Tam Thai Thanh ◽  
Son Nguyen Duy ◽  
...  
Keyword(s):  
Knowledge Base ◽  
Cost Effective ◽  
Farming System ◽  
Smart Farming

scholarly journals A semi-dominant mutation in OsCESA9 improves biomass enzymatic digestibility and salt tolerance by relatively remodeling cell walls in rice

2020 ◽  
Author(s):  
Yafeng Ye ◽  
Shuoxun Wang ◽  
Kun Wu ◽  
Yan Ren ◽  
Hongrui Jiang ◽  
...  
Keyword(s):  
Salt Tolerance ◽  
Plant Growth ◽  
Rice Straw ◽  
Enzymatic Saccharification ◽  
Cellulose Content ◽  
Normal Plant ◽  
Wild Type ◽  
Negative Effects ◽  
Straw Return ◽  
Almost All

Abstract Background: Cellulose synthase (CESA) mutants have potential use in straw processing due to their lower cellulose content, but almost all of the mutants exhibit defective phenotypes in plant growth and development. Balancing normal plant growth with reduced cellulose content remains a challenge, as cellulose content and normal plant growth are typically negatively correlated with one another. Result: Here, the rice (Oryza sativa) semi-dominant brittle culm (sdbc) mutant Sdbc1, which harbors a substitution (D387N) at the first conserved aspartic acid residue of OsCESA9, exhibits lower cellulose content and reduced secondary wall thickness as well as enhanced biomass enzymatic saccharification compared with the wild type (WT). Further experiments indicated that the OsCESA9D387N mutation may compete with the wild-type OsCESA9 for interacting with OsCESA4 and OsCESA7, further forming non-functional or partially functional CSCs. The OsCESA9/OsCESA9D387N heterozygous plants increase salt tolerance through scavenging and detoxification of ROS and indirectly affecting related gene expression. They also improve rice straw return to the field due to their brittle culms and lower cellulose content without any negative effects in grain yield and lodging. Conclusion: Hence, manipulation of OsCESA9D387N can provide the perspective of the rice straw for biofuels and bioproducts due to its improved enzymatic saccharification.

scholarly journals KARAKTERISASI WARNA BULU DAN UKURAN TUBUH SAPI BALI JANTAN PADA PETERNAKAN RAKYAT

2021 ◽  
Vol 5 (1) ◽  
pp. 97-106
Author(s):  
Rajab Rajab
Keyword(s):  
Beef Cattle ◽  
Coat Color ◽  
Average Rate ◽  
Farming System ◽  
The Body ◽  
Chest Circumference ◽  
Body Measurements ◽  
Traditional Farming ◽  
Color Identification ◽  
Bali Cattle

The aims of this reseach were both to identification of coat color and to characterization several body measurements of Bali cattle male categorized in three types of age which reared in traditional farming system. The study conducted by using survey observatory method with total of  154 tails of beef cattle using for coat color identification and 29 tails of male Bali cattle were measured. Observed variables were coat color, chest circumference, shoulder height and body lenght. The data obtained were analyzed descriptively. The results showed that the distribution of Bali cattle with normal coat color was 100 %, but if diveded into native and unnative color then the frequencies were 64 % and 36 % respectively. The average rate of chest circumference, shoulder height and body lenght of male Bali cattle respectively were follows  108.47, 86.92, and 84.07 cm for Io ; 120.62, 96.98, dan 96.61 cm for I1 ; and 144.75, 116.93, and 112.22 for I2 cm. The body size of male Bali cattle is still relatively low and does not meet the quality standards of good beef cattle.  

scholarly journals Mechanosensitive Channels Protect Plastids from Hypoosmotic Stress During Normal Plant Growth

2012 ◽  
Vol 22 (5) ◽  
pp. 408-413 ◽  
Author(s):  
Kira M. Veley ◽  
Sarah Marshburn ◽  
Cara E. Clure ◽  
Elizabeth S. Haswell
Keyword(s):  
Plant Growth ◽  
Mechanosensitive Channels ◽  
Normal Plant ◽  
Hypoosmotic Stress

IoT-Based Precision Agriculture System

2020 ◽  
pp. 1-7
Author(s):  
Sarita Tripathy ◽  
Shaswati Patra
Keyword(s):  
Internet Of Things ◽  
Precision Agriculture ◽  
Modern Method ◽  
The Internet ◽  
Huge Number ◽  
Traditional Farming ◽  
Smart Farming ◽  
Different Types ◽  
Farm Vehicles ◽  
The Internet Of Things

The huge number of items associated with web is known as the internet of things. It is associated with worldwide data consisting of various components and different types of gadgets, sensors, and software, and a large variety of other instruments. A large number of applications that are required in the field of agriculture should implement methods that should be realistic and reliable. Precision agriculture practices in farming are more efficient than traditional farming techniques. Precision farming simultaneously analyzes data along with generating it by the use of sensors. The application areas include tracking of farm vehicles, monitoring of the livestock, observation of field, and monitoring of storage. This type of system is already being accepted and adopted in many countries. The modern method of smart farming has started utilizing the IoT for better and faster yield of crops. This chapter gives a review of the various IoT techniques used in smart farming.

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