ITECH 5500 Use of Artificial Intelligence in Agriculture Assessment Answer
A) Interim research proposal:
Title: Use of artificial intelligence in agriculture
Farming and the agriculture is the most important and oldest profession in the world. in the present days, the agricultural industry is using AI technologies for creating healthier corps, monitor the oils, control pests, organise the data for the farmers and monitor the soil so that it can improve the agriculture-related tasks (Banerjee et al. 2018). Agricultural farms produce thousands of data points on the ground. By using AI, farmers can analyse varieties of things such as the condition of weather, water usage, temperature or soil condition (Eli-Chukwu, 2019). for example, AI technologies are useful for the farmers by optimising the planning for generating more bountiful yields through utilising the resources, selecting the best hybrid seed and determining the choices of crops (Talaviya et al. 2020). AI technology is useful to detect diseases in the pests, plants and identify the nutrition in the poor plants (Dharmaraj & Vijayanand, 2018). Different AI sensors are highly useful in detecting the target weeds and then decide which herbicides must be applied in the right buffer zones. AI technology is helpful for the farmers in developing seasonal forecasting model for increasing productivity and improving the accuracy in agriculture (Saiz-Rubio & Rovira-Más, 2020). Technology is helpful for the farmers in developing seasonal forecasting model for increasing productivity and improving the accuracy in agriculture (Saxena, Suna & Saha, 2020). Due to this reason, careful utilisation of AI is necessary for agriculture so that it can increase the growth of crops through an effective monitoring
B) Synthesis matrix:
Application of AI in agriculture: A review by Eli-Chukwu
Application of AI in Indian agriculture by Saxena et al.
Implementation of artificial intelligence in agriculture for optimisation of irrigation and application of pesticides and herbicides by Talavya et al.
AI in agriculture: A literature survey by Banerjee et al.
AI in agriculture by Dharmaraj and Vijayanand
From Smart Farming towards Agriculture 5.0: A Review on Crop Data Management by Saiz-Rubio and
Main idea 1
AI technology is highly effective in reducing the chances of the low quality of spoil
AI is helpful for agriculture in boosting the efficiencies and productivity
AI resolve problems regarding weeding and irrigation
AI offers different rigorous learning capabilities for resolving different types of agriculture-related problems
Image analysis and sensing ensures that leaf images are sectioned into the diseased, background and non-diseased area
AI helps in facilitating crop management through field management
Main idea 2
AI helps facilitate diseases management
AI monitors the soil and crop health which improves the agriculture
It facilitates the problems regarding spraying and crop monitoring
Insect pest infestation is one of the agricultural problems which can be resolved with the help of AI technology
Identify the readiness of the crops with the help of AI
IoT use other devices and sensors to convert farming into data which improves decision making
Main idea 3
AI is also helpful in facilitating weed management
AI data check the infestation area of weed which decreases the pesticide use.
AI helps protect the crop yield from different factors such as population growth, climate change, food security problems along with employment issues
Crop disease has become one of the terrible issues for the farmers which can be resolved with the help of AI technology
AI offers cognitive solution regarding the selection of hybrid seeds and crops based on the different parameters such as weather forecasts, condition of the soil and pest infestation.
Remote sensing helps monitor crops and obtain information