The answer to number 12 is mate.
Answer:
a sense organ
Explanation:
this is because sense organs are part of nervous system
Answer:
Nucleic Acids:
- Uracil
- Adenine
- Guanine
- Cytosine
Explanation:
Since we only have one strand shown, I'm going to assume it is RNA. Both DNA and RNA have nucleic acids, but RNA has 1 different nucleic acid; it replaces Thymine with Uracil. So the 4 nucleic acids are uracil, adenine, guanine, and cytosine.
If the picture shown is a cross-section of DNA, then our 4 nucleic acids are adenine, thymine, guanine, and cytosine.
Answer:
because they have thicker walls
Explanation:
blood is punped our of the heart very fast which means it would need a blood vessel witch thick walls to withstand the pressure. thin walls would cause the blood vessle damage and may evwn break as it wouldn't be able to withstans the pressure.
Crop monitoring makes use of space-based data to keep tabs on crop development and forecast crop yields for certain fields that have been planted.
<h3>What is monitoring systems?</h3>
A system for monitoring agriculture consists of a network with wireless sensors. These sensors gather information from several nodes positioned on the playing surface. Then, specialists or nearby farmers analyze this data. The data can be used to make a number of inferences about weather patterns, soil fertility, crop quality, etc. A system is developed for agricultural field monitoring in IoT-based modern agriculture with the aid of sensor like light, humid, temperatures, soil moisture, etc. Farmers may monitor the condition of thier fields from any location. IoT-based smart farming is considerably more efficient than conventional farming.
<h3>How do farmers monitor their crops?</h3>
Nowadays, satellite techniques are widely employed in agriculture, and many farmers use them frequently to observe their fields and assess the condition of their crops. Crop monitoring is crucial for managing various pests, weeds, and diseases that affect crops. This gives information about the crop's current situation, and you can then look ahead in time to forecast what will probably be the crop's next problem.
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