Dear Yaganteeswarudu Akkem

Today we have applied different machine learning algorithms on the subject of banana soils related to productivity and for the identification of zones of climatic suitability for diseases in bananas. In my profile you will find several publications that I hope can be useful for your research:

https://www.researchgate.net/publication/354527025_Correlation_of_banana_productivity_levels_and_soil_morphological_properties_using_regularized_optimal_scaling_regression

https://www.researchgate.net/publication/354997696_Diagnosis_and_climatic_suitability_of_tropical_diseases_of_bananas_in_Venezuela_using_Machine_Learning

https://www.researchgate.net/publication/353914803_Machine_Learning_and_the_new_sustainable_agriculture_applications_in_banana_production_systems

https://www.researchgate.net/publication/351603991_Fusarium_Wilt_of_Bananas_A_Review_of_Agro-Environmental_Factors_in_the_Venezuelan_Production_System_Affecting_Its_Development

https://www.researchgate.net/publication/355685043_The_Role_of_Agriculture_in_the_Changuinola_District_A_case_of_Applied_Economics_in_Panama

regards

By selecting the right crop for the given soil conditions and climate, one can optimize yields and save water requirements for irrigation. Saves water through lowering the amount of irrigation water. Helps conserving the soil.

Crop management begins with the sowing of seeds, continues with crop maintenance during growth and development, and ends with crop harvest, storage, and distribution . Soil fertilization is an essential component of crop management to assure nutritional sufficiency for plant growth.

It is only logical that Internet controlling things (IOT) , connected devices, and automation would find its application in agriculture, and as such, tremendously improve nearly every facet of it. How could one still rely on horses and plows when self-driving cars and virtual reality are no longer a sci-fi fantasy but an everyday occurrence. by using smart agriculture sensors to monitor the state of crops, farmers can define exactly how many pesticides and fertilizers they have to use to reach optimal efficiency. The same applies to the smart farming definition. Data, tons of data, collected by smart agriculture sensors, e.g. weather conditions, soil quality, crop’s growth progress or cattle’s health. This data can be used to track the state of your business in general as well as staff performance, equipment efficiency, etc. Better control over the internal processes and, as a result, lower production risks. The ability to foresee the output of your production allows you to plan for better product distribution. If you know exactly how much crops you are going to harvest, you can make sure your product won’t lie around unsold.

1. Cost management and waste reduction thanks to the increased control over the production.

2. Increased business efficiency through process automation.

3. Enhanced product quality and volumes.

4. Monitoring of climate conditions

5. Greenhouse automation

6. Cattle monitoring and management

7. Crop management

8. Precision farming

9. Agricultural drones

10. Predictive analytics for smart farming

11. End-to-end farm management syst

What Prem Baboo said is absolutely true.

I also do some relevant research, such as crop management and bid data, hign-tech irrigation system, agri-machinery automation, smart agriculture etc.

For your question: farmer techniques in crop selection, crop management, and any internet of things IOT techniques available. You should be focus on which crop, as different crop management need distinct machine and technology. Firstly, you should make sure your title. Secondly, research questions. And then method. This should be process.

This is just my understanding. Hope it can help. Thanks and have a nice day.

In my opinion when farmers are selecting crops for cultivating, they tend to look for crops that are high yielding, less attacked by pests and diseases, grows fast and are easy to manage. This is coupled with the market value of the crop. As for IOT, I am afraid in developing countries this is still not yet wide spread, but may be the opposite in advanced nations.

In my opinion when farmers are selecting crops for cultivating, they tend to look for crops that are high yielding, less attacked by pests and diseases, grows fast and are easy to manage. This is coupled with the market value of the crop. As for IOT, I am afraid in developing countries this is still not yet wide spread, but may be the opposite in advanced nations.

-Easily available inputs mainly recycled inputs (incurring zero cost) in farm

-A technology so for lesser use of natural resources like water and other, easily adoptable technology by farmers satisfying all socioeconomic satisfaction of farmers...

-A techniques which need to be labour intensive so called drudgery saving...

- A techniques which must be viable, eco-friendly, sustainable and economical...

- Sequencing genes of a crop for transferring stress and pest tolerant characteristics without endangering biodiversity in question...