Data-driven decisions for optimized crop management for plant research and agriculture practices
Why is crop monitoring important? Crop monitoring plays a crucial role in modern agriculture as it empowers plant researchers and agricultural producers with critical insights necessary for productive and sustainable production. It facilitates proactive and targeted interventions, leading to improved conditions, optimized resource utilisation, increased crop production, and enhanced farm profitability.
Conventional crop monitoring techniques involve manual observations and measurement by agricultural experts, usually done by visual inspection, field sampling, soil sampling, pest and disease scouting, weather monitoring, and harvest estimation.
Although widely used, they can be time-consuming, labour-intensive, subjective, prone to errors, and destructive to the sampled vegetation. They may not provide real-time or comprehensive information about composition and growth, leading to suboptimal decision-making and potential yield losses. That is why there is a growing interest in adopting advanced technologies and precision agriculture approaches like satellite technology, remote sensing techniques and hyperspectral imaging (HSI) for more accurate and efficient reports.
How can smart farming solutions help with real-time crop condition analysis?
With conventional crop monitoring systems, agriculture experts can face the following problems:
Subjective visual inspection assessing plant constitution, growth, nutrient deficiencies and the presence of pests or diseases which become visible once the disease has spread. With precision crop monitoring, early detection of stresses can be implemented. Identifying them at an early stage enables timely intervention and treatment, minimizing the potential damage to the vegetation.
Invasive field and soil sampling, which can be prevented thanks to a non-destructive measurement of plant. Field and soil sampling is also time-consuming as the samples need to be sent to laboratories. A non-destructive measurement solution provides real-time data visible on the spot for identification of different materials and defining properties.
High-precision crop growth monitoring systems with hyperspectral imaging (HSI) can assist agricultural experts with accurate classification and mapping, advanced reporting of the chemical footprint of the crop, highly accurate detection of diseases and pests, and therefore, making the right decision in risk management.
HSI will capture the spectral pattern “spectral signature” of absorption and reflection peculiar of crops such as wheat, rice, corn, cotton, etc. It will provide rapid spectral and spatial information from a broad range of electromagnetic spectrum non-invasively.
- Spectral signature reveals info like composition, chemical properties, colour, etc.
- Healthy plant VS. disease infected plants will have different spectral signature due to their physiological characteristics.
With an innovative HSI camera like the Specim IQ, HSI is more affordable and easier to use (like a digital camera) with its own data management software.
Crop fields, precision agriculture, and chemometrics
Academic paper: Hyperspectral imagery applications for precision agriculture - a systemic survey
Source: Google Scholar,
Sethy et a. (2021)
Benefits
- Data-driven decisions for optimized crop conditions
- Understand and enhance plant development
- Monitor crop production in quantity and with higher quality
- Prevent diseases widespread and mitigate impact on production
- Fulfil growing demand for good quality food
Example Applications
- Data-driven decisions for optimized crop conditions
- Understand and enhance plant development
- Monitor crop production in quantity and with higher quality
- Prevent diseases widespread and mitigate impact on production
- Fulfil growing demand for good quality food
Solutions for Digital Agriculture Activities in Laboratory and Fields
Soil Assessment and Monitoring
Gather real-time insights in composition of soils in properties like soil moisture, organic carbon, and nitrogen content to monitor production and implement environmentally friendly strategies.
Vertical Farming
Control the lighting efficiency and activities performance of indoor farming with light meters and HSI to maximize the output. Accurately adjust the necessary energy to support the growth of the vegetation.
Quality Reports of Harvested Crops
Identify issues like bruising, decay, insect damages, etc. to comply with food security and maximize productivity with HSI classification and mapping. Quality and maturity of the harvest can be easily evaluated and managed.