Disease Prediction in Cinnamon Cultivation with SenzAgro’s Agricore Intelligence Platform
Cinnamon; an indigenous, rain-fed crop to Sri Lanka, can be cultivated in various types of soil on an open field. It requires great soil depth as its tough roots can penetrate through parent soil layers and access deeper levels in search of water. Despite its tough nature, cinnamon’s bark quality is influenced by soil and climatic factors — where usually the best quality cinnamon is produced in white sandy soil. Cinnamon requires an acidic pH within 5.5 to 6.5, an annual rainfall of about 1875 to 3750mm per annum, with temperatures ranging between 25°c to 30°c.
The main issue our client faced were frequent, and persistent pest attacks and diseases. These pests and diseases are highly dependent on combined effects of climate parameters (such as temperature, precipitation, and humidity) along with other components such as soil moisture, atmospheric CO2 and more. In order to nullify its damage, the client requested a specialized system in gathering climatic parameters which would generate advice that would promote greater yields of cinnamon with higher quality.
The client required a system which allowed constant, precise supervision over the area’s climatic parameters. The data acquired by the system should be able to predict climatic changes and how those would affect the crop, predict the average yield from each harvest, predict crop attacks and offer advice on how to counter them, and offer guidance on generating higher yields and quality of crops with minimal wastage of resources.
SenzAgro’s Smart Farming System can cater all mentioned conditions via its mobile/web application — offering remote, real-time access to all crop data via the ‘Farm Manager’ application. Its sensory units can be used to monitor soil and climatic parameters (such as temperature, humidity, soil moisture levels, and more), offer advice and automate irrigation, ensure sufficient amounts of minerals to be provided without wastage of resources.
‘Crop specific advice’ could help the farmers monitor and manage their crops with more confidence as the data provided guarantees the best yield. SMS notifications can be used to inform, monitor, and manage farm operations and personnel via the farm application. In instances of disease or pest attacks, advice on how to nullify such events can also be catered to via SenzAgro’s smart farming solutions.
After deploying SenzAgro’s Digiplant and implementing a weather station, its microclimate parameters (such as temperature, humidity, soil moisture and EC) were monitored in real-time, 24 hours a day — 7 days a week. Along with the former climatic and parameter data gathered by the employees, the current data gathered to identify wind patterns and rainfall statistics were integrated with one another in order to build a model for yield prediction. Through this model, the employees were able to predict the yield per harvest — which in turn helped them decided as to whether they meet the demand inclined.
The sensory devices further ensure employees as to whether the cinnamon crops received adequate amounts of heat, pH, water, ECF, and other parameters. Additionally, the data from the sensors were used in understanding how various applications of the mentioned parameters could improve yield quantity and quality efficiently. The client accessed all the data in a generated report from the application, hence saving time in recording and displaying data effectively for analysis.
The data from the weather station would also be analyzed to predict potential cases of crop attacks. For instance, if climatic parameters go against pre-defined levels, the employees would be alerted via SMS or the ‘Farm Manager’ application about such potential attacks. In cases of the pest attacks and diseases; photos were sent via the Farm application to SenzAgro’s agronomists — who in turn identify and study the issue in-depth, and then offer advice in its nullification process. SenzAgro’s platform facilitates keeping a record of all issues during the crop cycle, which would help the client to make preventative measures in their next crop cycle.
The client was highly satisfied with SenzAgro’s system. The sensors provided real-time data to the weather stations — which in turn were used to predict yields per harvest, potential cases of pests and diseases, and monitor the plants’ conditions (with aid from the system’s crop specific intelligence), and manage water stress. There was a noticeable decline in crop attacks as pests and diseases were dealt with quickly and efficiently with the aid of SenzAgro’s agronomists and SenzAgro’s ‘Crop Specific Intelligence’, whilst the overall operations of the farm were monitored in real-time from anywhere via the mobile application. Hence, an improved growing environment was provided for the cinnamon crops, which in turn resulted in a greater quantity of higher quality yield. Despite its great results, SenzAgro strives to further enhance the system through the data received and eventually provide the best smart solutions for our clients in the future to come.