An agricultural method includes providing a positive air pressure chamber to prevent outside contaminants from entering the chamber; growing crops in a plurality of cells in the chamber, each cell having multi-grow benches or levels, each cell further having connectors to vertical hoists for vertical movements in the chamber; maintaining pre-set temperature, humidity, carbon dioxide, watering and lighting levels to achieve predetermined plant growth; using motorized transport rails to deliver benches for operations including seeding, harvesting, grow media recovery, and bench wash; dispensing seeds in the cell with a mechanical seeder coupled to the transport rails; growing the crops with computer controlled nutrients, light and air level; and harvesting the crops and delivering the harvested crop at a selected outlet of the chamber.

An agricultural method includes providing a positive air pressure chamber to prevent outside contaminants from entering the chamber; growing crops in a plurality of cells in the chamber, each cell having multi-grow benches or levels, each cell further having connectors to vertical hoists for vertical movements in the chamber; maintaining pre-set temperature, humidity, carbon dioxide, watering and lighting levels to achieve predetermined plant growth; using motorized transport rails to deliver benches for operations including seeding, harvesting, grow media recovery, and bench wash; dispensing seeds in the cell with a mechanical seeder coupled to the transport rails; growing the crops with computer controlled nutrients, light and air level; and harvesting the crops and delivering the harvested crop at a selected outlet of the chamber.

An agricultural method includes providing a positive air pressure chamber to prevent outside contaminants from entering the chamber; growing crops in a plurality of cells in the chamber, each cell having multi-grow benches or levels, each cell further having connectors to vertical hoists for vertical movements in the chamber; maintaining pre-set temperature, humidity, carbon dioxide, watering and lighting levels to achieve predetermined plant growth; using motorized transport rails to deliver benches for operations including seeding, harvesting, grow media recovery, and bench wash; dispensing seeds in the cell with a mechanical seeder coupled to the transport rails; growing the crops with computer controlled nutrients, light and air level; and harvesting the crops and delivering the harvested crop at a selected outlet of the chamber.

An internet of things (IoT) based hydroponic farm system is described. The hydroponic farm system includes a cloud server, a plurality of hydroponic farms, and a plurality of user computing stations. The cloud server includes a data distribution service domain that includes data distribution service middleware configured to use a real-time publish-subscribe protocol to wirelessly communicate hydroponic farm information. Each of the hydroponic farms is divided into a plurality of hydroponic plant growing zones that are configured to grow at least one species of plant. Each hydroponic plant growing zone includes a zone controller. A farm controller is assigned to each of the hydroponic farms. The plurality of user computing stations are subscribed to the data distribution service middleware and are configured to communicate, through the data distribution service domain, with the zone controller, the farm controller, a process controller, a production planning controller, and an enterprise resource planning controller.

An internet of things (IoT) based hydroponic farm system is described. The hydroponic farm system includes a cloud server, a plurality of hydroponic farms, and a plurality of user computing stations. The cloud server includes a data distribution service domain that includes data distribution service middleware configured to use a real-time publish-subscribe protocol to wirelessly communicate hydroponic farm information. Each of the hydroponic farms is divided into a plurality of hydroponic plant growing zones that are configured to grow at least one species of plant. Each hydroponic plant growing zone includes a zone controller. A farm controller is assigned to each of the hydroponic farms. The plurality of user computing stations are subscribed to the data distribution service middleware and are configured to communicate, through the data distribution service domain, with the zone controller, the farm controller, a process controller, a production planning controller, and an enterprise resource planning controller.

A feed intake system comprising one or more feeding stations comprising a trough with an animal feeding access, a support frame surrounding the trough, a base frame supporting the trough, a scale unit between the base frame and the support frame enabling the scale unit to weigh the contents of the trough, a station frame with an animal feeding access, a sensor assembly including a sensor or antenna located near the station frame animal feeding access, a control panel and a timestamp generator operationally associated with the sensor assembly and the scale unit, a CPU/processing computer operationally associated with the control panel, one or more animals, each having a RFID tag which transmits RFID signal and tag data, wherein the weight of the feed in the trough is collected and stored in a log file and wherein RFID signal and tag data are collected and stored in a log file.

A method, computer program product, and system includes a processor(s) obtaining real time data related to an agricultural site by continuously monitoring remote data collection entities at the agricultural site, which include satellites, ground monitoring stations, and sensors. The processor(s) determine which data of the real time data can be utilized in subsequent decisions and accumulate a portion of the real time data in a data store, based on a timestamp of the portion indicating that the portion of the real time data is no longer current and is historical data. Based on obtaining a request for a recommendation, the processor(s) generate based on a cognitive analysis of the historical data, the real time data that can be utilized, and the agricultural data from the controlled environment, at least one agricultural model. The processor(s) determine the recommendation from the model and transmit the recommendation to the client.

A method, computer program product, and system includes a processor(s) obtaining real time data related to an agricultural site by continuously monitoring remote data collection entities at the agricultural site, which include satellites, ground monitoring stations, and sensors. The processor(s) determine which data of the real time data can be utilized in subsequent decisions and accumulate a portion of the real time data in a data store, based on a timestamp of the portion indicating that the portion of the real time data is no longer current and is historical data. Based on obtaining a request for a recommendation, the processor(s) generate based on a cognitive analysis of the historical data, the real time data that can be utilized, and the agricultural data from the controlled environment, at least one agricultural model. The processor(s) determine the recommendation from the model and transmit the recommendation to the client.

An online agricultural system manages and optimizes interactions of entities within the system to enable the execution of transaction and the transportation of crop products. The online agricultural system accesses historic and environmental data describing factors that may impact crop product transactions and/or transportation to determine market prices for crop products and crop product transportation. Responsive to receiving a request from an entity, the online agricultural system determines an optimal transaction for the entity, such as a price for selling a crop product, an available crop product for purchase, or a transportation opportunity to transport a crop product.

This disclosure relates generally to a system and method for monitoring and quality evaluation of perishable food items in quantitative terms. Current technology provides limited capability for controlling environmental conditions surrounding the food items in real-time or any quantitative measurement for the degree of freshness of the perishable food items. The disclosed systems and methods facilitate in quantitative determination of freshness of food items by utilizing sensor data and visual data obtained by monitoring the food item. In an embodiment, the system utilizes a pre-trained CNN model and a RNN model, where the pertained CNN model is further fine-tined while training the RNN model to provide robust quality monitoring of the food items. In another embodiment, a rate kinetic based model is utilized for determining reaction rate order of the food item at a particular post-harvest stage of the food item so as to determine the remaining shelf life thereof.