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The Internet of Things (IoT) has provided ways to improve nearly every industry imaginable. In agriculture, IoT has not only provided solutions to often time-consuming and tedious tasks but is totally changing the way we think about agriculture. What exactly is a smart farm, though? Here is a rundown of what smart farming is and how it's changing agriculture.
What is a Smart Farm?
Smart farming refers to managing farms using modern Information and communication technologies to increase the quantity and quality of products while optimizing the human labor required.
Among the technologies available for present-day farmers are:


Sensors: soil, water, light, humidity, temperature management


Software:  specialized software solutions that target specific farm types or applications agnostic IoT platforms


Connectivity: cellular, LoRa


Location: GPS, Satellite


Robotics: Autonomous tractors, processing facilities


Data analytics: standalone analytics solutions, data pipelines for downstream solutions

Dual crop farming or multiple cropping can be either mixed cropping or intercropping.

Mixed cropping refers to raising two or more types of crops in the same area at the same time. This increases the probability that at least one type of crop will survive even if the entire area experiences adverse conditions such as drought.
Intercropping is similar, but with the addition of planting seeds in a specific pattern or sequence in the field. This allows farmers to maximize yield or productivity and the space available.

Dual crop farming is very popular among farmers because it optimizes the use of equipment, soil, water, and farming supplies; it also maximizes the production of a small farm all year round.
Farmers like that it reduces the risk of total loss from calamities, drought, pests, and diseases. Some good examples of multiple cropping are growing strawberries and watermelons in Florida or wheat and soybeans in addition to corn and canola in the Carolinas.

 
Edited: Core Functions of MIS:







Data Collection:
MIS systems gather data from various sources, both internal and external to the organization. 



 













Data Processing:
Collected data is processed, analyzed, and transformed into meaningful information through various techniques. 



 












Information Storage:
Processed information is stored in a structured manner for easy access and retrieval. 



 












Information Dissemination:
The system distributes relevant information to the appropriate users in a timely manner. 



 












Decision Support:
MIS provides the information needed by managers to make informed decisions, solve problems, and plan for the future. 



 











Key Components of MIS:




Hardware: The physical components of the system, such as computers, servers, and networks. 



 




Software: The applications and programs used to process and analyze data. 



 




People: Individuals who operate and maintain the system and utilize the information it provides. 



 




Procedures: The established rules and processes for using the system. 



 




Data: The raw facts and figures collected and processed by the system. 

Classroom Interventions for Attention Deficit/ Hyperactivity Disorder Considerations Packet

Primer text from The College of William & MaryADHD is one of the most commonly diagnosed conditions of children (Centers for DiseaseControl and Prevention, 2015). 
In a 2016 Centers for Disease Control and Prevention study, scientists found that 6.1 million children aged 2-17 years living in the U.S. had been diagnosed with attention-deficit/hyperactivity disorder (ADHD), which is similar to previous en

Ages 6-11: Approximately 2.4 million children
Ages 12-17: Approximately 3.3 million children

The diagnostic term attention deficit/hyperactivity disorder (ADHD) refers to individuals who display patterns of inattention, impulsivity, and overactive behavior that interfere with daily functioning (American Psychiatric Association [APA], 2013).
The Diagnostic and Statistical Manual (DSM) V (APA, 2013) criteria for diagnosing ADHD listthree types of ADHD and the accompanying characteristics.

JMeter is an open-source software designed for load testing and application performance measurement. It supports API testing in Java but was originally designed to test web applications.
Features:




This software supports HTTP/HTTPS, FTP, SOAP, REST, and other protocols to perform detailed testing across different application layers.
Command-line mode loads API tests from any OS.
Scripting is supported using Groovy and BeanShell languages to implement complex test logic and workflows in API performance tests.
Continuous integration is supported through third-party open-source libraries to catch API performance issues early.
Caching and replaying of API test results are supported.

A Jyotirlinga or Jyotirling or Jyotirlingam (Sanskrit: ज्योतिर्लिङ्ग) are shrines where Lord Shiva, is worshipped in the form of a Jyotirlingam. ‘Jyothi’ means ‘Radiance’ and Lingam, the Shiva Lingam-‘the mark or sign’ of The Almighty or the phallus symbol. Jyotir Lingam means the The Radiant sign of The Almighty. There are twelve traditional Jyotirlinga shrines in India.Lord Shiva first manifested himself as a Jyotirlinga on the night of the, Aridra Nakshatra thus the special reverence for the Jyotirlinga. There is nothing to distinguish the appearance, but it is believed that a person can see these lingas as columns of fire piercing through the earth after he reaches a higher level of spiritual attainment. There are twelve Jyotirlingas in India and they are spread all over India.

API testing is a procedure developers use to evaluate APIs' functionality, efficacy, and security. Before releasing their software, the results of API testing will inform developers if problem fixes and patches are required. They accomplish this through a simulation that entails sending queries that would reach the API when it is accessible to its users, regardless of whether it is authentic. They observe the API to determine how it will react to this volume of queries. If the results are positive, integrating the API is secure. If not, they will be required to fix it.

The core of IoT is the data you can draw from things and transmit over the internet. To optimize the farming process, IoT devices installed on a farm should collect and process data in a repetitive cycle that enables farmers to react quickly to emerging issues and changes in ambient conditions. Smart farming follows a cycle similar to this one:
1. Observation . Sensors record observational data from the crops, livestock, soil, or atmosphere. 
2. Diagnostics. The sensor values are fed to a cloud-hosted IoT platform with predefined decision rules and models—also called "business logic"—that ascertain the condition of the examined object and identify any deficiencies or needs.
3. Decisions . The user and/or the machine learning-driven components of the IoT platform assess the revealed issues to decide if location-specific treatment is necessary.
4. Action . After end-user evaluation and action, the cycle repeats from the beginning.